Month: March 2022
MMS • RSS
Posted on nosqlgooglealerts. Visit nosqlgooglealerts
New Jersey, USA,-NoSQL Software Market reports study a variety of parameters such as raw materials, costs, and technology, and consumer preferences. It also provides important market credentials such as history, various extensions and trends, trade overview, regional markets, trade and market competitors.NoSQL Software Market Report Based on market share analysis of major manufacturers The NoSQL Software Market Report covers business-specific capital, revenue, and price analysis, along with other sections such as expansion plans, support areas, products offered by major manufacturers, alliances, and acquisitions. Home office delivery.
The full profile of the company is mentioned. It also includes capacity, production, price, revenue, cost, gross profit, gross profit, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategy and the technology development they are creating. Report. NoSQL Software market historical and forecast data from 2022 to 2030.
Get | Download Sample Copy with TOC, Graphs & List of Figures@ https://www.marketresearchintellect.com/download-sample/?rid=280810
The NoSQL Software Market Research Report study covers global and regional markets with an in-depth analysis of the overall growth prospects of the market. It also illuminates the comprehensive competitive environment of the global market with a forecast period of 2022-2030. Along with the forecast period 2022-2030, the NoSQL Software Market Research report provides an additional dashboard overview of key companies covering successful marketing strategies, market contributions, and recent developments in both historical and current situations. NoSQL Software Market Research Report is highly research-intensive driven by high R&D investment and has strong product analysis to maintain growth and ensure long-term monetization with forecast period 2022-2030.
The major players covered in NoSQL Software Markets:
- MongoDB
- OrientDB
- Amazon
- Azure Cosmos DB
- Couchbase
- ArangoDB
- CouchDB
- MarkLogic
- SQL-RD
- RethinkDB
- RavenDB
- Microsoft
- Redis
NoSQL Software Market Breakdown by Type:
- Cloud Based
- Web Based
NoSQL Software Market breakdown by application:
- E-Commerce
- Social Networking
- Data Analytics
- Data Storage
- Others
The NoSQL Software market report has been separated according to separate categories, such as product type, application, end-user, and region. Each segment is evaluated on the basis of CAGR, share, and growth potential. In the regional analysis, the report highlights the prospective region, which is expected to generate opportunities in the global NoSQL Softwares market in the coming years. This segmental analysis will surely prove to be a useful tool for readers, stakeholders and market participants in order to get a complete picture of the global NoSQL Softwares market and its growth potential in the coming years.
Get | Discount On The Purchase Of This Report @ https://www.marketresearchintellect.com/ask-for-discount/?rid=280810
NoSQL Software Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size available for years | 2022 – 2030 |
| Base year considered | 2021 |
| Historical data | 2018 – 2021 |
| Forecast Period | 2022 – 2030 |
| Quantitative units | Revenue in USD million and CAGR from 2022 to 2030 |
| Segments Covered | Types, Applications, End-Users, and more. |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
| Customization scope | Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
| Pricing and purchase options | Avail of customized purchase options to meet your exact research needs. Explore purchase options |
Regional market analysis NoSQL Software can be represented as follows:
Each regional NoSQL Software sector is carefully studied to understand its current and future growth scenarios. This helps players to strengthen their position. Use market research to get a better perspective and understanding of the market and target audience and ensure you stay ahead of the competition.
The base of geography, the world market of NoSQL Software has segmented as follows:
-
- North America includes the United States, Canada, and Mexico
-
- Europe includes Germany, France, UK, Italy, Spain
-
- South America includes Colombia, Argentina, Nigeria, and Chile
-
- The Asia Pacific includes Japan, China, Korea, India, Saudi Arabia, and Southeast Asia
For More Information or Query or Customization Before Buying, Visit @ https://www.marketresearchintellect.com/product/global-nosql-software-market-size-and-forecast/
About Us: Market Research Intellect
Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations in addition to the objective of delivering customized and in-depth research studies.We speak to looking logical research solutions, custom consulting, and in-severity data analysis lid a range of industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverages. Etc Our research studies assist our clients to make higher data-driven decisions, admit push forecasts, capitalize coarsely with opportunities and optimize efficiency by bustling as their belt in crime to adopt accurate and indispensable mention without compromise.Having serviced on the pinnacle of 5000+ clients, we have provided expertly-behaved assert research facilities to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony, and Hitachi.
Contact us:
Mr. Edwyne Fernandes
US: +1 (650)-781-4080
UK: +44 (753)-715-0008
APAC: +61 (488)-85-9400
US Toll-Free: +1 (800)-782-1768
Website: –https://www.marketresearchintellect.com/
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
The “HTAP-Enabling In-Memory Computing Technologies Market” research report covers the entire growth scenario of the global market including key players, their future campaigns, competition, segmentation, dynamics, geographical development, and market shares along with historical data and price analysis. This new product development and partnership between buyers and manufacturers are likely to engage the market players over the next few years. The report covers market size, share, segmentation, trends, growth, competitive analysis, and regional breakdown. The report also highlights effective factors such as drivers, restraints, opportunities & challenges, SWOT analysis, technology advancement with covid19 analysis.
Get a Sample PDF of report @ https://www.industryresearch.biz/enquiry/request-sample/14458021
About HTAP-Enabling In-Memory Computing Technologies Market:
A hybrid transaction/analytical processing (HTAP) architecture is best enabled by in-memory computing (IMC) techniques and technologies to enable analytical processing on the same (in memory) data store that is used to perform transaction processing. By removing the latency associated with moving data from operational databases to data warehouses and data marts for analytical processing, this architecture enables real-time analytics and situation awareness on live transaction data as opposed to after-the-fact analysis on stale data. IMC technologies support a single, low-latency-access, in-memory data store capable of processing high volumes of transactions.
In-memory computing is the storage of information in the main random access memory (RAM) of dedicated servers rather than in complicated relational databases operating on comparatively slow disk drives. In-memory computing helps business customers, including retailers, banks and utilities, to quickly detect patterns, analyze massive data volumes on the fly, and perform their operations quickly. The drop in memory prices in the present market is a major factor contributing to the increasing popularity of in-memory computing technology. This has made in-memory computing economical among a wide variety of applications.
In 2018, the global HTAP-Enabling In-Memory Computing Technologies market size was million USD and it is expected to reach million USD by the end of 2025, with a CAGR of during 2019-2025.
Competitive Analysis:
The report includes company profiling of almost all important players in the global HTAP-Enabling In-Memory Computing Technologies market. The Company Profiling section provides valuable analysis of strengths and weaknesses, business development, recent developments, mergers and acquisitions, expansion plans, global footprint, market presence, and product portfolios of key market participants. This information can be used by players and other market participants to maximize profitability and streamline business strategies. Our competitive analysis also includes key information to help new entrants identify barriers to market entry and measure their level of competitiveness in the global HTAP-Enabling In-Memory Computing Technologies market.
The Following Major Players Covered in The HTAP-Enabling In-Memory Computing Technologies Market Report:
- Microsoft
- IBM
- MongoDB
- SAP
- Aerospike
- DataStax
- GridGain
To Understand How Covid-19 Impact Is Covered in This Report – https://www.industryresearch.biz/enquiry/request-covid19/14458021
The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts. Based on types and application research report examine the industry growth prospect & market size during covid-19 future forecast 2025. The report’s aim is to provide the latest industry scenario, economic analysis and covid-19 impact on the overall industry.
Key Segments in the HTAP-Enabling In-Memory Computing Technologies Market
- By product type
- By End-User/Applications
- By Technology
- By Region
On the basis of product type, the market is split into: This report displays the production, revenue, price, market share, and growth rate of each type.
- Single Node Based
- Distributed Systems Based
- Hybrid Memory Structure Based
On the basis of end-user/Application, the market is split into: This report focuses on the status and outlook for major applications/end users, consumption (sales), market share, and growth rate for each application.
- Retail
- Banks
- Logistics
- Others
Enquire before purchasing this report – https://www.industryresearch.biz/enquiry/pre-order-enquiry/14458021
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. Each regional HTAP-Enabling In-Memory Computing Technologies sector is carefully studied to understand its current and future growth scenarios.
This includes key regional areas such as:
- North America
- Europe
- China
- Japan
- Southeast Asia
- India
- Central & South America
Effect of COVID-19 on the global economy of HTAP-Enabling In-Memory Computing Technologies Market-
- Directly affecting production and demand.
- Creating supply chain and market disruption.
- Financial impact on businesses in worldwide.
The study objectives of this report are:
- To analyze global HTAP-Enabling In-Memory Computing Technologies status, future forecast, growth opportunity, key market and key players.
- To present the HTAP-Enabling In-Memory Computing Technologies development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
- To strategically profile the key players and comprehensively analyse their development plan and strategies.
- To define, describe and forecast the market by type, market, and key regions.
Request a sample copy of the report – https://www.industryresearch.biz/enquiry/request-sample/14458021
Key Features of the Report:
- The research report provides all the valuable information about the market size, growth, share, trends, segmentation, regional overview & industry forecast study.
- The research reports analyze the competitor study, company share analysis, company insights, product benchmarking, industry developments, business strategies & SWOT analysis for the main market players.
- The research report provides market dynamics, development & technology innovation.
- Industry overview by region, application, vendor, and type.
- The research report provides business opportunities & challenges in a growing industry.
Some of the key questions answered in this report:
- What will the market growth rate, growth momentum, or acceleration the market carries during the forecast period?
- Which are the key factors driving the HTAP-Enabling In-Memory Computing Technologies market?
- What was the size of the emerging HTAP-Enabling In-Memory Computing Technologies market by value?
- What will be the size of the emerging HTAP-Enabling In-Memory Computing Technologies market in 2025?
- Which region is expected to hold the highest market share in the HTAP-Enabling In-Memory Computing Technologies market?
- What trends, challenges and barriers will impact the development and sizing of the Global HTAP-Enabling In-Memory Computing Technologies market?
- What are sales volume, revenue, and price analysis of top manufacturers of HTAP-Enabling In-Memory Computing Technologies market?
- What are the HTAP-Enabling In-Memory Computing Technologies market opportunities and threats faced by the vendors in the global HTAP-Enabling In-Memory Computing Technologies Industry?
Purchase this report (Price 3900 USD for a single-user license) – https://www.industryresearch.biz/purchase/14458021
Some Points from TOC:
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global HTAP-Enabling In-Memory Computing Technologies Market Size Growth Rate by Type (2014-2025)
1.4.2 Type 1
1.4.3 Type 2
1.4.4 Type 3
1.4.5 Other
1.5 Market by Application
1.5.1 Global HTAP-Enabling In-Memory Computing Technologies Market Share by Application (2019-2025)
1.5.2 Application 1
1.5.3 Application 2
1.5.4 Application 3
1.5.5 Others
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 HTAP-Enabling In-Memory Computing Technologies Market Size
2.2 HTAP-Enabling In-Memory Computing Technologies Growth Trends by Regions
2.2.1 HTAP-Enabling In-Memory Computing Technologies Market Size by Regions (2019-2025)
2.2.2 HTAP-Enabling In-Memory Computing Technologies Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
3 Market Share by Key Players
3.1 HTAP-Enabling In-Memory Computing Technologies Market Size by by Players
3.1.1 Global HTAP-Enabling In-Memory Computing Technologies Revenue by by Players (2014-2019)
3.1.2 Global HTAP-Enabling In-Memory Computing Technologies Revenue Market Share by by Players (2014-2019)
3.1.3 Global HTAP-Enabling In-Memory Computing Technologies Market Concentration Ratio (CR5 and HHI)
3.2 HTAP-Enabling In-Memory Computing Technologies Key Players Head office and Area Served
3.3 Key Players HTAP-Enabling In-Memory Computing Technologies Product/Solution/Service
3.4 Date of Enter into HTAP-Enabling In-Memory Computing Technologies Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
4.1 Global HTAP-Enabling In-Memory Computing Technologies Market Size by Type (2014-2019)
4.2 Global HTAP-Enabling In-Memory Computing Technologies Market Size by Application (2014-2019)
………………………………….
12 International Players Profiles
12.1 Company Profile 1
12.1.1 Company Profile 1 Company Details
12.1.2 Company Description and Business Overview
12.1.3 HTAP-Enabling In-Memory Computing Technologies Introduction
12.1.4 Company Profile 1 Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2014-2019))
12.1.5 Company Profile 1 Recent Development
12.2 Company Profile 2
12.2.1 Company Profile 2 Company Details
12.2.2 Company Description and Business Overview
12.2.3 HTAP-Enabling In-Memory Computing Technologies Introduction
12.2.4 Company Profile 2 Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2014-2019)
12.2.5 Company Profile 2 Recent Development
12.3 Company Profile 3
12.3.1 Company Profile 3 Company Details
12.3.2 Company Description and Business Overview
12.3.3 HTAP-Enabling In-Memory Computing Technologies Introduction
12.3.4 Company Profile 3 Revenue in HTAP-Enabling In-Memory Computing Technologies Business (2014-2019)
12.3.5 Company Profile 3 Recent Development
………………………………….
13 Market Forecast 2019-2025
14 Analyst’s Viewpoints/Conclusions
15 Appendix
Continue…………….
Detailed TOC of Global HTAP-Enabling In-Memory Computing Technologies Market @ https://www.industryresearch.biz/TOC/14458021
About Us:
Market is changing rapidly with the ongoing expansion of the industry. Advancement in technology has provided today’s businesses with multifaceted advantages resulting in daily economic shifts. Thus, it is very important for a company to comprehend the patterns of market movements in order to strategize better. An efficient strategy offers the companies a head start in planning and an edge over the competitors. Industry Research is a credible source for gaining market reports that will provide you with the lead your business needs.
Contact Us:
Industry Research Biz
Phone: US +1 424 253 0807
UK +44 203 239 8187
Email: [email protected]
Web: https://www.industryresearch.biz
Our Other Reports:
Article originally posted on mongodb google news. Visit mongodb google news
MMS • Owen Garrett
Article originally posted on InfoQ. Visit InfoQ
Key Takeaways
- Due to the high volume of vulnerabilities that exist in large production infrastructures, differentiating between vulnerability and exploitability can allow teams to focus on the most dangerous exploits first.
- A good first step in any security program is to gain comprehensive visibility into the security of application code across the entire CI/CD pipeline. This allows for earlier disaster mitigation.
- When ranking vulnerabilities in terms of their exploitability, each vulnerability should be assessed within the context of the entire program, not just by its CVSS score.
- Use filtering technology to limit the effectiveness of reconnaissance activities, which are commonly used by attackers in preparation for an exploit.
- Monitoring internal networks, hosts, and workloads for both Indicators of Attack (IoA) and Indicators of Compromise (IoC) can help catch any attacks that have gotten past your organization’s defenses.
Open source software underpins the large majority of internet-facing applications. The availability, accessibility, and quality of such projects allow enterprises to innovate and succeed. It’s a great example of a public good, and something that should be celebrated and protected.
The ubiquity of open source means that any vulnerabilities discovered have far-reaching impact. Attackers see an enormous opportunity, and large numbers of enterprise and other users have to respond quickly to identify instances of the vulnerable software in applications they develop and in third-party applications and components they use.
The reality is that software vulnerabilities are common. How can security professionals assess the risk posed by vulnerabilities and best focus their organization’s efforts on fixing those vulnerabilities that matter most?
Build comprehensive visibility – you can’t secure what you can’t see
Security teams are responsible for the integrity of the entire application, including all the open source components and third-party dependencies that were not written by the enterprise’s developers. Much work has been done to improve the security of the software development process and to track dependencies with “shift left” initiatives and SBOMs (software bill of materials) so that code shipped to production has a high confidence of security. But when a vulnerability is published, how can you quickly identify where it is present in deployed code that is already running in production? A first step in any security program is to gain comprehensive visibility into the security of application code across the entire CI/CD pipeline, from build all the way through production, and across all application and infrastructure modalities, including running containers, Kubernetes, cloud providers, VMs, and/or bare metal. Eliminate your blind spots so that you can detect and mitigate attacks early enough.
Focus on what matters most: exploitability vs vulnerability
After gaining full visibility, it’s not uncommon for organizations to see tens of thousands of vulnerabilities across large production infrastructures. However, a list of theoretical vulnerabilities is of little practical use. Of all the vulnerabilities an enterprise could spend time fixing, it’s important to identify which are the most critical to the security of the application and therefore must be fixed first.
To be able to determine this, it’s important to understand the difference between a vulnerability, which is a weakness in deployed software that could be exploited by attackers for particular result, and exploitability, which indicates the presence of an attack path that can be leveraged by an attacker to achieve a tangible gain.
Vulnerabilities that require high-privilege, local access in order to exploit are generally of lesser concern because an attack path would be difficult to achieve for a remote attacker (if a bad actor has already achieved privilege escalation on a local host, they have a great many opportunities to gain further control). Of higher concern are vulnerabilities that can be triggered by, for example, remote network traffic that would generally not be filtered by firewall devices, and which are present on hosts that routinely receive traffic directly from untrusted, internet sources.
Assess and rank potential exploits
When assessing a vulnerability to rank it by its exploitability, and therefore the priority in which to fix it, you’ll want to consider some or all of the following criteria:
- The severity of the vulnerability: CVSS (Common Vulnerability Scoring System) scores provide a good baseline of a vulnerability’s severity to enable you to compare vulnerabilities. However, CVSS scores do not consider the context of your own application and infrastructure, which is a gap you’ll need to shore up for the most accurate information.
- The attack vector – network vs local system access: Network accessible vulnerabilities often form the first step of an attack, and local system access vulnerabilities come into play once an attacker has gained a foothold within the app. This means you need to immediately seal off any network attack paths leading to your most exploitable vulnerable services and simultaneously look for signals of attack behavior on nodes and take corrective action.
- Proximity to the attack surface: Is there an attack path that provides a viable route by which an attacker can reach and exploit the vulnerability? When considering attack paths, make sure to consider ways an attacker could bypass firewalls, load balancers, proxies, and other hops, and address any exposure there, while your developers work on updating, testing, and redeploying the vulnerable applications.
- Presence of a network connection: Although all vulnerabilities that can be reached from external sources are a concern, vulnerabilities on applications that routinely handle general network connections, evidenced by current connections, are of the highest concern. These are the vulnerabilities that an attacker is most likely to discover using reconnaissance (recon) techniques.
The key here is to add runtime context to vulnerability data so that you can identify your most exploitable vulnerabilities, and therefore your list of which ones to patch first because they present the greatest danger to the security of your application.
Consider using tools like open source ThreatMapper to help you identify your most exploitable vulnerabilities. You should run tools like this repeatedly over time as conditions change to focus your security efforts where they are needed most.
Limit recon activities
An attacker will typically follow an established playbook, using tactics and techniques documented by MITRE ATT&CK. These tactics follow models such as the Cyber Kill Chain and begin with recon activities and then move to an initial exploit. The initial exploit generally aims to gain limited local control over a beachhead system. From the beachhead, the attacker has a great many options to explore, escalate privileges, install persistent control systems, and investigate adjacent systems in order to spread laterally and locate the greater prize.
To limit the effectiveness of recon activities, start with identifying the attack paths that an attacker might take to reach a vulnerable component. In a belt-and-braces fashion, ensure that each of these attack paths are secured with filtering technology:
- WAF to capture and drop known recon traffic
- Protocol and source-based filtering to limit the clients who can access that path
- Additional application-level filtering to:
- Ensure transactions are authenticated
- For API traffic, ensure transactions originate from a trusted client implementation
ThreatMapper open source visualizes the attack paths leading to your most exploitable vulnerabilities so you can determine how best to seal them off.
Scour for “Indicators of Attack” and “Indicators of Compromise”
Despite best efforts to secure the attack surface and limit visibility to attackers, exploits can still happen for a variety of reasons – zero day attacks, deliberate attempts to compromise the supply chain, lack of visibility into Shadow IT and other unmanaged assets, and so on. CVEs are published through the NVD at a rate of about 50 per day, so the risk of a new vulnerability being found in production is significant.
Another critical line of defense, therefore, is monitoring internal networks, hosts, and workloads for both Indicators of Attack (IoA) and Indicators of Compromise (IoC).
IoA can include exploratory, recon traffic from unusual sources, or unusual network traffic that may indicate the presence of C2C (container to container) networks, remote telemetry, or exfiltration attempts. IoC are on-host indications that something is amiss and an attacker has gained a foothold, including unusual process behavior, file system access, or file system modification.
It’s worth establishing a “red team” function that routinely explores applications and can determine the signals of attack and their impacts as they apply to your individual organization. Look to enterprise tools to help you automate and manage the huge volumes of IoA and IoC events generated from enterprise systems, including minimizing false positives, storing events for later analysis and, most importantly, correlating events to gain understanding of attack signatures and how those attacks progress against your applications. Armed with this knowledge, you can then deploy targeted, surgical countermeasures to block recon or attack traffic from internal or external sources, and/or to quarantine compromised workloads.
Conclusion
Log4j is another reminder that vulnerabilities are inevitable. But this shouldn’t detract organizations from using open source code as a driver for innovation and other worthwhile goals. By gaining comprehensive visibility into application traffic across all infrastructure modalities, incorporating strategies to assess and prioritize vulnerabilities based on their risk of exploit, and maintaining constant vigilance in the hunt for traces of attacks, security leaders can guide their organizations through mitigating the risks associated with Log4j and the next big vulnerabilities.
Scaling SQL for cloud-native – Yugabyte CEO discusses the opportunity of a new class of database
MMS • RSS
Posted on nosqlgooglealerts. Visit nosqlgooglealerts
Yugabyte aims to give enterprise buyers the best of both worlds, when it comes to choosing their next generation of databases. In the on-premise world, SQL relational databases ruled the roost, but this thinking has since been challenged by a wave of NoSQL adoption in the cloud – led by the likes of MongoDB and DataStax (Cassandra).
The general message over the past five years has been that relational models aren’t suited to scale in the cloud, whilst NoSQL databases are built for distributing unstructured data for internet applications. However, what if you didn’t have to compromise on things like consistency for transactions, whilst taking advantage of cloud characteristics, such as resiliency, scale and geo-distribution?
The founding principle behind Yugabyte is that NoSQL databases will aim to become fully transactional, but also that a SQL database that is cloud-native and can handle multiple data models without compromising on transactions, performance and geo-distribution, could be superior.
Yugabyte was founded by a team at Facebook, after they were able to scale the social media company’s platform from millions to billions of users in just a few years. Yugabyte has since chosen to build on PostgresSQL, an open source database that has been around for decades, and rebuild the ‘upper half’ to cater it to cloud trends.
The ‘NewSQL’ company (a term often used to describe the market Yugabyte operates in), has since received over $290 million in funding and has been valued at more than $1.3 billion. Not only that, but it has customer names that include Kroger, Plume and Admiral.
diginomica got the chance to sit down with Yugabyte CEO, Bill Cook, and VP of Strategy and Solutions, Suda Srinivasan, last week to discuss how the company is thinking about its go-to-market strategy and what the opportunity is for buyers.
Cook explains that the success seen thus far is being driven by a number of cloud-based market dynamics. He said:
The database tier, for the most part, had not been designed or built for this era – cloud native patterns – which means you can connect a database service per micro service, or app. And then, obviously, resiliency, redundancy and geo distribution, all those kinds of attributes as well, are important in today’s world.
[The way the Facebook team] went about it was basically by saying ‘what the world doesn’t need, or doesn’t want, is yet another database that they have to deal with’. However, they do need the cloud native attributes of the underpinning database. And so the idea was, on the SQL side, to take the upper half of Postgres and put a more robust underpinning to it, for cloud native resilience and scale out attributes.
The idea here is that Yugabyte is solving database challenges for cloud native environments, whilst making it easier for developers that have extensive experience using SQL tools to adapt. Yugabyte is built to be infrastructure independent – so the company is focusing on Google Cloud, AWS and Microsoft – but is also provided as a service, a managed service, or can be hosted in your own environment.
Srinivasan reinforced Cook’s point, but added that companies that had ventured into the NoSQL world to find an alternative to relational databases are now knocking on Yugabyte’s door. He said:
A lot of companies that are doing database modernization have been using traditional relational databases for the longest time, but they are looking to make a move into something that is resilient, scalable, geo distributed, cloud native, ready for the future.
And then we have other companies that have felt acute pain in terms of scaling or resilience with traditional SQL, have gone the NoSQL route, and then they realize that they have trade offs.
For example, a large retailer now has their product catalogue running on Yugabyte. They had it on Cassandra, and they found that they did not get secondary indexes, they couldn’t do really fast lookups. Maintaining that stuff took a lot of a lot of effort.
Cassandra is not a system that is built for operational simplicity at scale, in many ways. And they were losing money because of ACID transactions and the lack of transaction capabilities. So then they were looking for something that allowed him to combine these two worlds together.
Understanding the use case
Cook and Srinivasan said that the need for a relational database that can scale in the cloud is becoming more critical as customers explore multiple use cases that support edge computing, 5G, and IoT workloads. Doing these with traditional databases becomes cost prohibitive and complex, whilst the NoSQL vendors run into limitations, according to Cook. He said:
There’s trade-offs that you make when you move to a Mongo or a Cassandra, right? You give up on the core database transactional features that we’ve talked about with traditional. On the transactional side, you run into limits on MongoDB or Cassandra. That’s fine for certain applications, but the core applications and having transactional consistency…we would argue, why compromise either side of that equation if you don’t have to?
Srinivasan said that the customers that Yugabyte is working with typically fall into two categories. He added:
We’ve got the global 2000, large enterprise companies that are going through the process of database modernization. They spent the last 10 years on a digital transformation journey, and they’ve kind of been focused on application modernization, microservices and so on. And for them, they have database infrastructure that doesn’t look like the rest of their infrastructure stack. And they’re looking for modernization in the data layer, this is kind of a holistic approach: 2,000 databases, the next five years, we’re going to be modernizing, where do we start as a workload?
Then you have another group of companies that are building microservices to meet immediate needs. So they’re essentially going cloud native in one part of their organization and they are looking for a database that is going to be a good fit for that world. And there the pain point is usually more acute.
Finally, another key selling point for Yugabyte, Cook notes, is the opportunity to invest in talent where it’s necessary. He hopes that Yugabyte can prove its worth at scale – whilst making it easier for SQL developers to transition to a new platform. Cook said:
The other nuance to me is, if you think about people, I’ve talked to many enterprises and people are their biggest pain point. How do I find skilled people that help me move the needle of my business?
Database administration should not be a core competency that I want to invest in, candidly. I just want a database that works and scales automatically in a cloud environment and as a service to my developers. I want as many developers building features that I take to my customers as opposed to worrying about underlying infrastructure.
My take
It’s early, early days for Yugabyte. And we are yet to speak to any customers, although the names it is publicly talking about are impressive. Interestingly, Yugabyte has started at the top end of the enterprise market in terms of wide-ranging use cases for large global brands, whereas the NoSQL vendors typically started by fostering the developer community and then scaling up. How that will play out down the line is too soon to tell, but it’s just an interesting observation.
I can see the appeal for a company that has traditionally used relational databases and is now being offered an alternative to MongoDB or Cassandra, with claims that it can do everything that they did before, but in the cloud. It’s a compelling proposition, but as I said, it’s early days and we need to speak to a broad range of customers to understand the proof points better.
My initial assessment is that the Mongo and Cassandra customers I speak to are generally quite happy, but aren’t necessarily ditching relational databases altogether and are making use of NoSQL for targeted use cases. Whether or not they will swap out NoSQL tools for something like Yugabyte, I’m not sure. That being said, moving their older relational databases to something like Yugabyte could be compelling. I’ve got a feeling, like most things, companies will end up with a mixed bag of tools, targeted at what their needs are – but we will be observing this market closely to see how the dynamics play out.
Java News Roundup: JDK 18 GA, JMC 8.2, Spring Updates, MicroStream 7.0-Beta1, WildFly 26.1-Beta1
MMS • Michael Redlich
Article originally posted on InfoQ. Visit InfoQ
This week’s Java roundup for March 21st, 2022 features news from JDK 18, JDK 19, JDK Mission Control 8.2, Amazon Corretto 18, BellSoft LibericaJDK 18, multiple Spring milestone and point releases, Micronaut 3.4.0, GraalVM Native Build Tools 0.9.11, WildFly 26 Beta 1, Hibernate Reactive 1.1.4.Final, MicroStream 7.0-M1, JReleaser 1.0-RC1, and TornadoVM 0.13.
JDK 18
Oracle has released version 18 of the Java programming language and virtual machine this past week that ships with a final feature set of nine JEPs. More details may be found in this InfoQ news story.
JDK 19
Build 15 of the JDK 19 early-access builds was made available this past week, featuring updates from Build 14 that include fixes to various issues. More details may be found in the release notes.
For JDK 19, developers are encouraged to report bugs via the Java Bug Database.
JDK Mission Control
JDK Mission Control (JMC) 8.2.0 was released featuring: support for Eclipse 2021-06 and later; a binary build for Apple ARM allowing JMC to be run natively on Apple M1; parser support for frame types generated by async profiler; and a new rule for explicit invocations of System.gc(). JMC requires JDK 11+, but may still be used to parse JFR recordings from OpenJDK 8u272+ and Oracle JDK 7u40+.
Amazon Corretto
Amazon has released Amazon Corretto 18, their downstream distribution of OpenJDK 18, that is available on Linux, Windows, and macOS. Developers may download this latest version from this site.
BellSoft Liberica JDK
Similarly, BellSoft has released LibericaJDK 18, their downstream distribution of JDK 18. Developers may download this latest version from this site.
Spring Framework
After a relatively quiet couple of weeks, the team at Spring was quite busy this past week having provided multiple milestone and point releases.
There were multiple releases of Spring Boot. Versions 2.5.11 and 2.6.5 feature a total of 56 and 66 bug fixes, dependency upgrades and improvements in documentation, respectively.
Spring Boot 2.7.0-M3 includes new features such as: support for generating Docker images with Podman; improved support for the SanitizingFunction interface; and support for Spring GraphQL 1.0.0-M6. Further details may be found in these release notes.
Spring Boot 3.0.0-M2 includes new features such as: reinstated support for Ehcache 3 and the H2 Console application as both are now compatible with Jakarta EE 9; and improved detection with the @ConstructorBinding annotation used in conjunction with @ConfugurationProperties. More details may be found in these release notes.
Multiple releases of Spring Data were also made available this past week. Point releases 2021.1.3, and 2021.0.10 provide bug fixes and dependency upgrades and may be consumed with Spring Boot versions 2.6.5 and 2.5.11, respectively.
Spring Data 2021.2.0-M4, codenamed Raj, ships with a number of new features related to the Spring Data subprojects and may be consumed with Spring Boot 2.7.0-M3.
Spring Data 2022.0.0-M3, codenamed Turing, also ships with new features to include: JDK 17 as a baseline; and support for Spring Framework 6 and Jakarta EE 9. This version may be consumed with Spring Boot 3.0.0-M2.
The sixth milestone release of Spring for GraphQL 1.0 was made available to include a new GraphQL Client and an updated GraphQL Tester to align with the new client. This is the final milestone release and the team plans the first release candidate by the end of April 2022 and a GA release on May 17, 2022.
Spring Security 6.0.0-M3 and 5.7.0-M3 have been released to include: deprecation of the WebSecurityConfigurerAdapter class; and support enhancements for SAML 2.0 and OAuth 2.0.
The second milestone of Spring Batch 5.0 was made available featuring: a new Observation API from Micrometer 2.0 which provide both metrics and tracing for batch jobs; and the addition of HANA, an in-memory, column-oriented, relational database management system created by SAP, as a supported database for the job repository. Further details may be found in this changelog.
Spring Authorization Server 0.2.3 has been released that ships with a number of new features, bug fixes and dependency upgrades. More details may be found in these release notes.
Micronaut
The Micronaut Foundation has released Micronaut 3.4.0 that ships with new features such as: the ability to conditionally load other beans properties with the @Requires annotation; the ability to inject an implementation of the LocalizedMessageSource interface in a controller to resolve localized messages for the current HTTP request; and Micronaut Data MongoDB is now part of Micronaut Data 3.3.0. Further details may be found in the changelog.
GraalVM Native Build Tools
On the road to version 1.0, Oracle Labs has released version 0.9.11 of Native Build Tools, a GraalVM project consisting of plugins for interoperability with GraalVM Native Image. This latest release provides: the ability to use environment variables in native tests; integration of the GraalVM native configuration repository with Gradle; a rename of the Gradle jvmReachabilityMetadataRepository to metadataRepository; and a fix in which the @arg file was not being used for Maven tests. More details may be found in the release notes.
WildFly
The first beta release of WildFly 26.1 has been made available featuring: the ability to limit the number of records retrieved via a JDBC store; the ability to specify a root configuration source directory with MicroProfile Config; and enhanced keystore CLI commands. Further details may be found in the release notes.
Hibernate
Hibernate Reactive 1.1.4.Final was made available as a maintenance release that fixes several bugs and a dependency upgrade to Hibernate ORM to 5.6.7.Final. More details may be found in the changelog.
MicroStream
The first beta release of MicroStream 7.0 was made available featuring: a MicroStream CDI extension; logging to the core modules using slf4j; and a more user-friendly serializer API.
JReleaser
On the road to version 1.0.0, the first release candidate and updated early-access releases of JReleaser were made available this past week featuring: the ability to allow file properties to accept plain string values; support for universal binaries in BINARY distributions; a new option to run the jpackage command in verbose mode; and a fix in which the packageSourceUrl fails when the remoteBuild property is assigned to false.
TornadoVM
TornadoVM, an open-source software technology company, has released TornadoVM version 0.13 that ships with new features and improvements such as : integration with JDK 17 and Graal 21.3.0; native functions enabled by default; multiple improvements in the SPIR-V Backend; an improved installation script; and support for extended intrinsics related to math operations.
Juan Fumero, research associate, Advanced Processor Technologies Research Group at The University of Manchester, introduced TornadoVM at QCon London in March 2020 and has since contributed this more recent InfoQ technical article.
MMS • Steef-Jan Wiggers
Article originally posted on InfoQ. Visit InfoQ
Recently, Google announced the general availability of the Suspend/Resume feature for its Compute Engine VMs. The feature provides customers better control over Google Cloud resource consumption.
Earlier, the company made suspend/resume available in preview after being in alpha for a few years. By suspending a Google Compute Engine VM, customers can save the state of their instance to disk, allowing them to pick up where they left off when resuming it later. In the suspend state, they no longer incur the cost for cores or RAM, only for the storage of the instance memory. In addition, the running costs like OS licensing may be reduced.
Users can use the Cloud Console, the gcloud CLI, or the API to suspend an instance. Note that they can suspend an instance for up to 60 days before the VM is automatically stopped. In addition, there are other limitations like that Suspend/Resume doesn’t work for GPU instances, instances with more than 120 GB of memory, E2 instances, and Confidential VMs.
Source: https://cloud.google.com/blog/products/compute/save-by-suspending-vms-on-google-compute-engine
How suspending works is that an ACPI S3 signal is sent to the instance’s operating system when suspending, leading to two significant advantages compared to similar functionalities from other cloud providers. According to the company’s blog post:
- Suspending allows for broad compatibility with a wide selection of OS images without requiring you to use a cloud-specific OS image or install daemons.
- Storage is dynamically provisioned when Suspend is requested and is separate from the instance’s boot disk. This is in contrast to implementations in other clouds that require you to ensure that you have sufficient empty space in your boot disk to save the instance state, which may increase the running costs of your VM.
Regarding other public cloud providers, Microsoft, for instance, offers its customers to stop VMs in the portal or through PowerShell or Azure CLI. As a result, customers do not incur costs in the “Stopped (deallocated)” state of the VM. Stop/start or suspend/resume VMs can lead to cost savings. In the Google blog post, Aaron Humerickhouse, manager, Engineering at BigCommerce, said:
Utilizing Compute Engine’s suspend and resume functionality has allowed BigCommerce to reduce operation costs of our Compute Engine-driven development environment – each engineer is allowed to customize their environment’s “working hours,” which triggers suspension at the end of each workday and resumption at the beginning of the next day – reducing our Virtual Machine Instance usage times from 168 hours a week to 60 hours a week per environment on average.
Lastly, Google Cloud VMs are available in most regions, with more to come.
Database Software Market Size And Forecast | Top Key Players – Teradata, MongoDB, Mark …
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
New Jersey, United States,- The Database Software Market report always aims to provide a thorough understanding of the overall market. In order to secure the finances of the industry, it aims to provide some independent facts. Additionally, it provides data on market shares, market tactics, growth factors, and the impact of the COVID-19 pandemic on both small and large business sectors. Key success factors, key success details, distribution channels, and industry pricing structure are some of the important market dimensions discussed in this market analysis. It further focuses on market segmentation by product type, application, type, and region.
Various key business segments, market shares, market challenges, and market size are some of the critical factors discussed in this Database Software market report. It then discusses other important factors as fundamental factors such as mergers, acquisitions, new launches, approaches, and developments. It enables the key players to seize the best possible economic opportunities by providing an overview of the entire market environment. It covers the growth of the market in major regions of the world like Asia Pacific, Middle East, North America, Africa, and Latin America. This Database Software market analysis report sheds light on the growth factors of the industry.
Get Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.verifiedmarketresearch.com/download-sample/?rid=85913
Key Players Mentioned in the Database Software Market Research Report:
Teradata, MongoDB, Mark Logic, Couch base, SQLite, Datastax, InterSystems, MariaDB, Science Soft, AI Software.
This Database Software market research analysis helps in reaching the intended demographic and thereby increasing sales. It continues with the presentation of new business opportunities, support in expanding the customer base, and the presentation of changing market trends. All the information presented here is very useful to develop well-informed business strategies. It also discusses some essential elements that influence business growth such as The approaches of the main players, important price structures, business-promoting methods, and economic analysis. With the help of this insightful business study, players can avoid the same mistakes and optimize business processes.
Database Software Market Segmentation:
Database Software Market, By Type of Product
• Database Maintenance Management
• Database Operation Management
Database Software Market, By End User
• BFSI
• IT & Telecom
• Media & Entertainment
• Healthcare
The regional analysis section of the report allows players to focus on high-growth regions and countries that could help them to expand their presence in the Database Software market. Besides expanding their presence in the Database Software market, regional analysis helps players increase sales while gaining a better understanding of customer behavior in specific regions and countries. The report provides CAGR, revenue, production, consumption, and other important statistics and figures on global and regional markets. It demonstrates how different types, applications, and regional segments of the Database Software market are progressing in terms of growth.
Get Discount On The Purchase Of This Report @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=85913
Database Software Market Report Scope
| ATTRIBUTES | DETAILS |
|---|---|
| ESTIMATED YEAR | 2022 |
| BASE YEAR | 2021 |
| FORECAST YEAR | 2029 |
| HISTORICAL YEAR | 2020 |
| UNIT | Value (USD Million/Billion) |
| SEGMENTS COVERED | Types, Applications, End-Users, and more. |
| REPORT COVERAGE | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends |
| BY REGION | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
| CUSTOMIZATION SCOPE | Free report customization (equivalent up to 4 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |
Determining the pulse of the market becomes easy through this in-detail Database Software market analysis. Key players can find all competitive data and market size of major regions like North America, Europe, Latin America, Asia-Pacific and Middle East. As part of the competitive analysis, certain strategies are profiled which are pursued by key players such as mergers, collaborations, acquisitions and new product launches. These strategies will greatly help industry players to strengthen their market position and grow their business.
Key questions answered in the report:
1. Which are the five top players of the Database Software market?
2. How will the Database Software market change in the next five years?
3. Which product and application will take a lion’s share of the Database Software market?
4. What are the drivers and restraints of the Database Software market?
5. Which regional market will show the highest growth?
6. What will be the CAGR and size of the Database Software market throughout the forecast period?
For More Information or Query or Customization Before Buying, Visit @ https://www.verifiedmarketresearch.com/product/database-software-market/
Visualize Database Software Market using Verified Market Intelligence:-
Verified Market Intelligence is our BI-enabled platform for narrative storytelling of this market. VMI offers in-depth forecasted trends and accurate Insights on over 20,000+ emerging & niche markets, helping you make critical revenue-impacting decisions for a brilliant future.
VMI provides a holistic overview and global competitive landscape with respect to Region, Country, and Segment, and Key players of your market. Present your Market Report & findings with an inbuilt presentation feature saving over 70% of your time and resources for Investor, Sales & Marketing, R&D, and Product Development pitches. VMI enables data delivery In Excel and Interactive PDF formats with over 15+ Key Market Indicators for your market.
Visualize Database Software Market using VMI @ https://www.verifiedmarketresearch.com/vmintelligence/
About Us: Verified Market Research®
Verified Market Research® is a leading Global Research and Consulting firm that has been providing advanced analytical research solutions, custom consulting and in-depth data analysis for 10+ years to individuals and companies alike that are looking for accurate, reliable and up to date research data and technical consulting. We offer insights into strategic and growth analyses, Data necessary to achieve corporate goals and help make critical revenue decisions.
Our research studies help our clients make superior data-driven decisions, understand market forecast, capitalize on future opportunities and optimize efficiency by working as their partner to deliver accurate and valuable information. The industries we cover span over a large spectrum including Technology, Chemicals, Manufacturing, Energy, Food and Beverages, Automotive, Robotics, Packaging, Construction, Mining & Gas. Etc.
We, at Verified Market Research, assist in understanding holistic market indicating factors and most current and future market trends. Our analysts, with their high expertise in data gathering and governance, utilize industry techniques to collate and examine data at all stages. They are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research.
Having serviced over 5000+ clients, we have provided reliable market research services to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony and Hitachi. We have co-consulted with some of the world’s leading consulting firms like McKinsey & Company, Boston Consulting Group, Bain and Company for custom research and consulting projects for businesses worldwide.
Contact us:
Mr. Edwyne Fernandes
Verified Market Research®
US: +1 (650)-781-4080
UK: +44 (753)-715-0008
APAC: +61 (488)-85-9400
US Toll-Free: +1 (800)-782-1768
Email: sales@verifiedmarketresearch.com
Website:- https://www.verifiedmarketresearch.com/
Article originally posted on mongodb google news. Visit mongodb google news
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
With concerns over inflation and higher interest rates, growth stocks have taken it on the chin over the past few months. So is it time to buy these former market darlings? It’s hard to say; some of these stocks still don’t look traditionally “cheap,” and interest rates look as if they will continue to rise.
However, disruptive growth stocks rarely do look cheap. And over the long term, companies with competitive advantages and long growth runways should do well for investors — perhaps really well. The following three names have each have those key characteristics in spades.
CrowdStrike
Cybersecurity leader CrowdStrike ( CRWD -0.65% ) has done relatively well compared with other high-growth, profitless growth stocks over the past few months, but it hasn’t been spared. It’s still down roughly 28% from its highs, despite a good recent run.
CrowdStrike has remained somewhat better off since it’s in the mission-critical arena of cybersecurity. Cyberwarfare was already a growing concern, but the Russia-Ukraine conflict has turbocharged it. Last Monday, President Biden warned the private sector that the Russian government could be preparing cyberattacks against critical infrastructure and other U.S. business and government entities.
CrowdStrike just reported an impressive quarter, in which annualized recurring revenue rose 65%, and adjusted (non-GAAP) operating margin expanded to 19%, up from 13% in the prior-year quarter. While the company is making GAAP losses due to stock-based compensation, CrowdStrike is generating lots of free cash flow, so it’s in no need of external funding.
The company is really hitting it out of the park on underlying metrics as well: Customer count grew 65%, and CrowdStrike has been successfully cross-selling customers more cybersecurity “modules” as well, leading to nice margin expansion.
CrowdStrike has been so successful due to its innovative endpoint detection and response (EDR) product, which uses a cloud-based software agent that collects and sends back data to CrowdStrike’s central Threat Graph. The Threat Graph uses artificial intelligence to get smarter as it racks up more customers and data. That powerful network effect has given CrowdStrike a disruptive leg up on that corner of the cybersecurity market, which it’s now leveraging to pick up other services.
One year ago, CrowdStrike bought Humio for its extended detection and response (XDR) capabilities, including fast data processing and analytics. XDR takes a wider view of a company’s systems and operations, including unstructured data and applications, not just individual endpoints.
From its torrid growth, it appears CrowdStrike has solidified its position at the head of the class for next-generation network security platforms. Despite a high valuation and potential for near-term pullbacks, CrowdStrike looks like a competitively advantaged company with a long growth runway, making it a solid long-term buy.
MongoDB
Another next-gen disruptor of an essential enterprise function is MongoDB ( MDB -3.40% ), which is doing to the database industry what CrowdStrike is doing in cybersecurity. Just as CrowdStrike’s cloud-and-AI-based model is replacing legacy security solutions, MongoDB’s document database architecture handles modern forms of unstructured data better than the row-and-column format of traditional relational databases.
The rapid adoption of this newer database format by app developers is why MongoDB is showing blistering growth. Last quarter, revenue was up 56%, and revenue growth could maintain that rate for some time. That’s because Atlas, MongoDB’s cloud-based database as a service, rocketed a whopping 85% higher last quarter — but Atlas makes up just 58% of revenue. As the hypergrowth Atlas offering continues to make up a larger and larger part of the business, MongoDB’s revenue growth should keep up a solid pace.
Image source: Getty Images.
While MongoDB’s revenue just cleared the $1 billion annualized run rate, management thinks its offerings have a $70 billion-plus market opportunity ahead. Known as the market leader in document databases for modern application developers with that big a market opportunity, MongoDB should do quite well over the long term, despite an expensive-looking price tag today.
MercadoLibre
Finally, Latin American e-commerce and fintech leader MercadoLibre ( MELI -5.67% ) has a strong leadership position in high-growth markets across Latin America, where e-commerce is still fairly underpenetrated.
MercadoLibre has been growing by leaps and bounds, and is investing to cement its competitive scale advantage. Last quarter, revenue grew 74% to over $2.1 billion, with a nice balance of 67% e-commerce growth and 81% fintech growth. Meanwhile, gross margins expanded 3.2 percentage points to 40%, and operating margins swung from negative 1.9% a year ago to a positive 1.1%.
There are also signs that MercadoLibre’s leading position in Latin America is solidifying. Of note, its Mercado Pago payments volume grew a whopping 96.5% in “off-platform” payments, faster than MercadoLibre’s “on-platform” payment volume growth of 32.2%. Off-platform payments were also double those of on-platform, showing that Mercado Pago is gaining wide acceptance as a preferred digital payments solution across the economy, not just on MercadoLibre’s e-commerce site.
Second, MercadoLibre’s heavy investments in logistics appear to be paying off — 89% of orders go through its own “Logistics by Mercado Envios” platform, ensuring quality and fast delivery. That’s up from 77% a year ago. Same-day and next-day orders were 59% of the total, up from 45% a year ago, which is really impressive in emerging markets like Latin America with less-developed infrastructure. Given MercadoLibre’s lead in logistics, it would be hard for another e-commerce company to build out its own first-party logistics platform with that kind of scale and similar delivery capabilities.
While third parties do exist and other competitors will remain on the low end, it would be hard for anyone to catch up with MercadoLibre’s ecosystem for first-class delivery of high-end items. Shares are still down 39% from the all-time highs set last year, so you might consider investing in MercadoLibre today.
This article represents the opinion of the writer, who may disagree with the “official” recommendation position of a Motley Fool premium advisory service. We’re motley! Questioning an investing thesis – even one of our own – helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.
Article originally posted on mongodb google news. Visit mongodb google news
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
The Non-Native Database Management Systems report is an in-depth examination of the global Non-Native Database Management Systems’s general consumption structure, development trends, sales techniques, and top nations’ sales. The research looks at well-known providers in the global Non-Native Database Management Systems industry, as well as market segmentation, competition, and the macroeconomic climate. A complete Non-Native Database Management Systems analysis takes into account a number of aspects, including a country’s population and business cycles, as well as market-specific microeconomic consequences. The global market research also includes a specific competition landscape section to help you better understand the Non-Native Database Management Systems industry. This information can help stakeholders make educated decisions before investing.
Leading players of Non-Native Database Management Systems including:
Amazon Athena, Apache, DBeaver, dbForge Studio, DbVisualizer, Microsoft Azure, MongoDB Cloud Manager, Navicat Premium, QUEST (Toad Edge), Robomongo, SQL Developer, SQLyog, TablePlus, Toad For Oracle
Free Sample Report + All Related Graphs & Charts @ https://www.mraccuracyreports.com/report-sample/450249
The report is classified into multiple sections which consider the competitive environment, latest market events, technological developments, countries and regional details related to the Non-Native Database Management Systems. The section that details the pandemic impact, the recovery strategies, and the post-pandemic market performance of each actor is also included in the report. The key opportunities that may potentially support the Non-Native Database Management Systems are identified in the report. The report specifically focuses on the near term opportunities and strategies to realize its full potential. The uncertainties that are crucial for the market players to understand are included in the Non-Native Database Management Systems report.
As a result of these issues, the Non-Native Database Management Systems industry has been hampered. Because of the industry’s small number of important enterprises, the Non-Native Database Management Systems area is heavily targeted. Customers would benefit from this research since they would be informed about the current Non-Native Database Management Systems scenario. The most recent innovations, product news, product variants, and in-depth updates from industry specialists who have effectively leveraged Non-Native Database Management Systems position are all included in this research study. Many firms would benefit from Non-Native Database Management Systems research study in identifying and expanding their global demand. Micro and macro trends, important developments, and their usage and penetration across a wide variety of end-users are also included in the Non-Native Database Management Systems segment.
The market analysis done with statistical tools also helps to analyze many aspects that include the demand, supply, storage costs, maintenance, profit, sales, and production details of the market. Furthermore, the global Non-Native Database Management Systems research report provides the details about the Non-Native Database Management Systems share, import volume, export volume, and the gross margin of the companies.
Non-Native Database Management Systems Segmentation by Type:
Cloud Based, Web Based.
Non-Native Database Management Systems Segmentation by Application:
Large Enterprises, SMEs
Non-Native Database Management Systems report answers some key questions:
- What is the expected growth of global Non-Native Database Management Systems after covid-19 vaccine or treatment is found?
• What are the new business practices that can be implemented post-pandemic to remain competitive, agile, customer-centric, and collaborative in the global Non-Native Database Management Systems?
• Which specific sectors are expected to drive growth in the global Non-Native Database Management Systems?
• What are key government policies and interventions implemented by leading global Non-Native Database Management Systems countries to help further adoption or growth of Non-Native Database Management Systems .
• How have the market players or the leading global Non-Native Database Management Systems firms have addressed the challenges faced during the pandemic?
• What growth opportunities the global Non-Native Database Management Systems offers?
Highlights of the Report:
- The report provides Non-Native Database Management Systems industry demand trends in Q1 and Q2 2021.
• Individual circumstances of the Non-Native Database Management Systems segments are discussed in the report.
• The report contains forward-looking information on risks and uncertainties.
• The report studies the consumer-focused sectors of the Non-Native Database Management Systems.
• The trade scenarios of the products and services in particular segments are detailed in the report along with regulation, taxes, and tariffs.
• The trends that are impacting the Non-Native Database Management Systems for past few years are discussed in the report.
• The report studies the potential impact of the Covid-19 pandemic on the Non-Native Database Management Systems industry economy and performance of the market players in the same context.
Please click here today to buy full report @ https://www.mraccuracyreports.com/checkout/450249
Table of Content:
1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered
2 Executive Summary
3 Global Non-Native Database Management Systems by Players
4 Non-Native Database Management Systems by Regions
4.1 Non-Native Database Management Systems Size by Regions
4.2 Americas Non-Native Database Management Systems Size Growth
4.3 APAC Non-Native Database Management Systems Size Growth
4.4 Europe Non-Native Database Management Systems Size Growth
4.5 Middle East & Africa Non-Native Database Management Systems Size Growth
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market Trends
10 Global Non-Native Database Management Systems Forecast
11 Key Players Analysis
12 Research Findings and Conclusion
MR Accuracy Reports is the number one publisher in the world and have published more than 2 million reports across globe. Fortune 500 companies are working with us. Also helping small players to know the market and focusing on consulting.
Article originally posted on mongodb google news. Visit mongodb google news
Why MongoDB Inc. (NASDAQ: MDB) Is Worth Including On Your Watchlist – Marketing Sentinel
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
MongoDB Inc. (NASDAQ:MDB)’s traded shares stood at 0.7 million during the last session, with the company’s beta value hitting 0.82. At the close of trading, the stock’s price was $406.04, to imply a decrease of -3.40% or -$14.3 in intraday trading. The MDB share’s 52-week high remains $590.00, putting it -45.31% down since that peak but still an impressive 41.38% since price per share fell to its 52-week low of $238.01. The company has a valuation of $25.36B, with an average of 1.57 million shares in intraday trading volume over the past 10 days and average of 1.32 million shares over the past 3 months.
Analysts have given a consensus recommendation of an Overweight for MongoDB Inc. (MDB), translating to a mean rating of 1.90. Of 20 analyst(s) looking at the stock, 0 analyst(s) give MDB a Sell rating. 1 of those analysts rate the stock as Overweight while 3 advise Hold as 15 recommend it as a Buy. 1 analyst(s) have given it an Underweight rating. Estimates put the company’s current-quarter earnings per share at -$0.22.
After registering a -3.40% downside in the last session, MongoDB Inc. (MDB) has traded red over the past five days. The stock hit a weekly high of 422.02 this Friday, 03/25/22, dropping -3.40% in its intraday price action. The 5-day price performance for the stock is 1.99%, and 8.17% over 30 days. With these gigs, the year-to-date price performance is -23.29%. Short interest in MongoDB Inc. (NASDAQ:MDB) saw shorts transact 4.49 million shares and set a 4.11 days time to cover.
Analysts on Wall Street suggest a consensus price target of $457.87, implying an increase of 11.32% to the stock’s current value. The extremes give us $325.00 and $650.00 for target low and target high price respectively. As such, MDB has been trading -60.08% off suggested target high and 19.96% from its likely low.
MongoDB Inc. (MDB) estimates and forecasts
Looking at statistics comparing MongoDB Inc. share performance against respective industry, we note that the company has outperformed competitors. MongoDB Inc. (MDB) shares are -20.08% down over the last 6 months, with its year-to-date growth rate higher than industry average at 22.03% against 3.70%. Revenue is forecast to grow 33.30% this quarter before falling -13.30% for the next one. The rating firms project that company’s revenue will grow 43.80% compared to the previous financial year.
Revenue forecast for the current quarter as set by 12 analysts is $241.76 million. Meanwhile, for the quarter ending Apr 2022, a total of 13 analyst(s) estimate revenue growth to $253.75 million.
MDB Dividends
MongoDB Inc. has its next earnings report out between March 07 and March 11. However, it is important to take into account that this dividend yield ratio is just an indicator to only serve the purpose of guidance. Investors interested to invest in the stock should ponder company’s other fundamental and operations related aspects too. MongoDB Inc. has a forward dividend ratio of 0, with the share yield ticking at 0.00% to continue the rising pattern observed over the past year. The company’s average dividend yield trailing the past 5-year period is 0.00%.
MongoDB Inc. (NASDAQ:MDB)’s Major holders
MongoDB Inc. insiders hold 7.58% of total outstanding shares, with institutional holders owning 90.05% of the shares at 97.44% float percentage. In total, 90.05% institutions holds shares in the company, led by Capital World Investors. As of Sep 29, 2021, the company held over 6.8 million shares (or 10.19% of shares), all amounting to roughly $3.21 billion.
The next major institution holding the largest number of shares is Price (T.Rowe) Associates Inc with 6.68 million shares, or about 10.01% of shares outstanding. As of the market price on Sep 29, 2021, these shares were worth $3.15 billion.
We also have Growth Fund Of America Inc and Smallcap World Fund as the top two Mutual Funds with the largest holdings of the MongoDB Inc. (MDB) shares. Going by data provided on Nov 29, 2021, Growth Fund Of America Inc holds roughly 4.81 million shares. This is just over 7.20% of the total shares, with a market valuation of $2.39 billion. Data from the same date shows that the other fund manager holds a little less at 1.91 million, or 2.86% of the shares, all valued at about 898.76 million.
Article originally posted on mongodb google news. Visit mongodb google news