Month: September 2023
Cloud-based Database Market Share, Size and Forecast to 2030 | Teradata, MongoDB, Alibaba
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PRESS RELEASE
Published September 18, 2023
Introduction:
“Cloud-based Database Market” New Research Insight Report 2023 | Spread Across 120 Pages Report which provides an in-depth analysis Based on Regions, Applications (Large Enterprises, Small and Medium Business), and Types (NoSQL Database, SQL Database). The report presents the research and analysis provided within the Cloud-based Database Market Research is meant to benefit stakeholders, vendors, and other participants in the industry. The Cloud-based Database market is expected to grow annually by magnificent (CAGR 2023 – 2030).
Who is the largest manufacturers of Cloud-based Database Market worldwide?
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Short Description About Cloud-based Database Market:
The Global Cloud-based Database market is anticipated to rise at a considerable rate during the forecast period, between 2023 and 2030. In 2022, the market is growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
The global Cloud-based Database market size was valued at USD 6188.5 million in 2021 and is expected to expand at a CAGR of 24.02Percent during the forecast period, reaching USD 22519.86 million by 2027.
A cloud database is a type of database service that is built, deployed and delivered through a cloud platform. It is primarily a cloud Platform as a Service (PaaS) delivery model that allows organizations, end users and their applications to store, manage and retrieve data from the cloud.
The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranges from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application and region, and, as a result, provides a holistic view of, as well as a deep insight into the Cloud-based Database market covering all its essential aspects.
For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers & acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.
In a nutshell, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the market in any manner.
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What are the factors driving the growth of the Cloud-based Database Market?
Growing demand for below applications around the world has had a direct impact on the growth of the Cloud-based Database
What are the types of Cloud-based Database available in the Market?
Based on Product Types the Market is categorized into Below types that held the largest Cloud-based Database market share In 2023.
Which regions are leading the Cloud-based Database Market?
- North America (United States, Canada and Mexico)
- Europe (Germany, UK, France, Italy, Russia and Turkey etc.)
- Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
- South America (Brazil, Argentina, Columbia etc.)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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This Cloud-based Database Market Research/Analysis Report Contains Answers to your following Questions
- What are the global trends in the Cloud-based Database market? Would the market witness an increase or decline in the demand in the coming years?
- What is the estimated demand for different types of products in Cloud-based Database? What are the upcoming industry applications and trends for Cloud-based Database market?
- What Are Projections of Global Cloud-based Database Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export?
- Where will the strategic developments take the industry in the mid to long-term?
- What are the factors contributing to the final price of Cloud-based Database? What are the raw materials used for Cloud-based Database manufacturing?
- How big is the opportunity for the Cloud-based Database market? How will the increasing adoption of Cloud-based Database for mining impact the growth rate of the overall market?
- How much is the global Cloud-based Database market worth? What was the value of the market In 2020?
- Who are the major players operating in the Cloud-based Database market? Which companies are the front runners?
- Which are the recent industry trends that can be implemented to generate additional revenue streams?
- What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for Cloud-based Database Industry?
Cloud-based Database Market – Covid-19 Impact and Recovery Analysis:
We were monitoring the direct impact of covid-19 in this market, further to the indirect impact from different industries. This document analyzes the effect of the pandemic on the Cloud-based Database market from a international and nearby angle. The document outlines the marketplace size, marketplace traits, and market increase for Cloud-based Database industry, categorised with the aid of using kind, utility, and patron sector. Further, it provides a complete evaluation of additives concerned in marketplace improvement in advance than and after the covid-19 pandemic. Report moreover done a pestel evaluation within the business enterprise to study key influencers and boundaries to entry.
Our studies analysts will assist you to get custom designed info to your report, which may be changed in phrases of a particular region, utility or any statistical info. In addition, we’re constantly inclined to conform with the study, which triangulated together along with your very own statistics to make the marketplace studies extra complete for your perspective.
Final Report will add the analysis of the impact of Russia-Ukraine War and COVID-19 on this Cloud-based Database Industry.
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Detailed TOC of Global Cloud-based Database Market Research Report, 2023-2030
1 Market Overview
1.1 Product Overview and Scope of Cloud-based Database
1.2 Classification of Cloud-based Database by Type
1.2.1 Overview: Global Cloud-based Database Market Size by Type: 2017 Versus 2021 Versus 2030
1.2.2 Global Cloud-based Database Revenue Market Share by Type in 2021
1.3 Global Cloud-based Database Market by Application
1.3.1 Overview: Global Cloud-based Database Market Size by Application: 2017 Versus 2021 Versus 2030
1.4 Global Cloud-based Database Market Size and Forecast
1.5 Global Cloud-based Database Market Size and Forecast by Region
1.6 Market Drivers, Restraints and Trends
1.6.1 Cloud-based Database Market Drivers
1.6.2 Cloud-based Database Market Restraints
1.6.3 Cloud-based Database Trends Analysis
2 Company Profiles
2.1 Company
2.1.1 Company Details
2.1.2 Company Major Business
2.1.3 Company Cloud-based Database Product and Solutions
2.1.4 Company Cloud-based Database Revenue, Gross Margin and Market Share (2019, 2020, 2021 and 2023)
2.1.5 Company Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Cloud-based Database Revenue and Share by Players (2019,2020,2021, and 2023)
3.2 Market Concentration Rate
3.2.1 Top3 Cloud-based Database Players Market Share in 2021
3.2.2 Top 10 Cloud-based Database Players Market Share in 2021
3.2.3 Market Competition Trend
3.3 Cloud-based Database Players Head Office, Products and Services Provided
3.4 Cloud-based Database Mergers and Acquisitions
3.5 Cloud-based Database New Entrants and Expansion Plans
4 Market Size Segment by Type
4.1 Global Cloud-based Database Revenue and Market Share by Type (2017-2023)
4.2 Global Cloud-based Database Market Forecast by Type (2023-2030)
5 Market Size Segment by Application
5.1 Global Cloud-based Database Revenue Market Share by Application (2017-2023)
5.2 Global Cloud-based Database Market Forecast by Application (2023-2030)
6 Regions by Country, by Type, and by Application
6.1 Cloud-based Database Revenue by Type (2017-2030)
6.2 Cloud-based Database Revenue by Application (2017-2030)
6.3 Cloud-based Database Market Size by Country
6.3.1 Cloud-based Database Revenue by Country (2017-2030)
6.3.2 United States Cloud-based Database Market Size and Forecast (2017-2030)
6.3.3 Canada Cloud-based Database Market Size and Forecast (2017-2030)
6.3.4 Mexico Cloud-based Database Market Size and Forecast (2017-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer
9 Research Methodology
10 Conclusion
Continued….
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Appleton Partners Inc. MA Acquires Stake in MongoDB, Inc. amidst Insider Trading Activity
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Appleton Partners Inc. MA, a financial services company, recently announced its acquisition of a new stake in MongoDB, Inc. during the 2nd quarter, as stated in its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm obtained 712 shares of MongoDB’s stock, valued at approximately $293,000.
MongoDB, Inc. operates globally as a provider of a general-purpose database platform. The company’s offerings include MongoDB Atlas, which is a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server designed for enterprise customers to run in various environments such as the cloud, on-premise, or in a hybrid setup; and Community Server, which is a free-to-download version of its database that comes equipped with all the necessary features developers need to get started with MongoDB.
In related news related to insider trading activities within the company, Director Dwight A. Merriman sold 1,000 shares on Tuesday, July 18th at an average price of $420.00 per share, resulting in a total transaction value of $420,000.00. Following this sale, Merriman now possesses 1,213,159 shares of MongoDB’s stock with an estimated value of $509,526,780. All transactions made by Merriman were disclosed in legal filings with the SEC and can be accessed through their official website.
Furthermore, on Friday, August 4th Merriman sold an additional 6,000 shares at an average price of $415.06 per share for a total transaction value of $2,490.360.00. As of now following this latest sale by Merriman., he currently holds approximately 1,207,,159 shares valued at around $501,,043,,414..54 according to the available disclosure.
Throughout the last quarter,. Insiders have sold off Company stocks amounting to almosts97,,520 shares valued at approximatelys39,,180,574. Company insiders now cumulatively ownss4.80% of the company’s stock.
This recent acquisition by Appleton Partners Inc. MA and the insider trading activities within MongoDB, Inc. shed light on the ongoing developments and investments made in the company. By delving into these transactions, investors can better understand the dynamics and potential outlook for the future growth of MongoDB, Inc. It will be interesting to see how these events impact the company’s performance in the upcoming months.
Heritage Insurance Holdings, Inc.
HRTG
Buy
Updated on: 18/09/2023
Social Sentiments
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Date:17 September, 2023
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MongoDB Inc. Gains Momentum with Institutional Investor Interest and Positive Analyst Outlook
MongoDB, Inc. is a global provider of a general-purpose database platform. The company offers various solutions including MongoDB Atlas, MongoDB Enterprise Advanced, and Community Server. These offerings cater to enterprise customers, developers, and individuals who require reliable and efficient database solutions.
In recent months, several hedge funds have shown interest in MongoDB’s stock. Raymond James & Associates increased its holdings in the company by 32.0% during the first quarter, bringing its total ownership to 4,922 shares valued at $2,183,000. PNC Financial Services Group Inc. also boosted its holdings by 19.1%, acquiring an additional 206 shares worth $569,000.
MetLife Investment Management LLC joined the list of institutional investors purchasing MongoDB stock during the same period with a stake worth $1,823,000. Panagora Asset Management Inc., on the other hand, witnessed a 9.8% increase in its holdings by adding another 176 shares valued at $877,000.
Vontobel Holding Ltd., demonstrating considerable confidence in MongoDB’s potential, grew its position by an impressive 100.3% during the first quarter. This brought their total ownership to 2,873 shares worth $1,236,000. It is notable that institutional investors own approximately 88.89% of the company’s stock.
As of September 17th, MongoDB’s stock opened at $362.13 per share. Over the past year,the stock has seen a low of $135.15 and a high of $439.00 per share.The fifty-day moving average stands at$385.82 whilethe two-hundred day moving average was recorded as$316.l8.The company’s market capitalization currently stands at $25.84 billion witha price-to-earnings ratio of -104-66 and beta value of1.ll.Additionally,MongoDBhasa current ratioof4^48and a quick ratioof4.48indicatinga strong positionto meet its short-termobligations.Furthermore, the company hasa debt-to-equityratio of1,29.
Over the past months,several analysts have expressed their opinions on MongoDB’s stock. Argus raised their price target from$435.00 to $484.00 and assigned a “buy” rating to the company. Similarly, Macquarieincreasedtheir price targetfrom $434.00 to $456.00, while The Goldman Sachs Group raised theirsfrom $420.00 to $440.O0.Canaccord Genuity Grouphas alsoupped their target price from $410.OOto$450.OOandgave MongoDB a “buy” rating.Additionally,TruestFinancialincreasedtheirdprice target from$4 20.OOto$430.OOwitha “buy”rating.
Despite one analyst giving a sell recommendation, the majority of analysts hold a positive outlook on MongoDB’s future prospects.According to Bloomberg data,the average consensus rating for the stock is currently “Moderate Buy,” with an average target price of $418.08.
Overall,MongoDB Inc.’s recent performance and growing interest from institutional investors signalitspotential for strong growth in the datab
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Big Data and Analytics Market 2023 Revenue and Share Analysis | Microsoft, MongoDB, Predikto
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Press release, Orbis Research – The Global Big Data and Analytics Market Report is a thorough examination and analysis of the search industry’s market size, market trends, and predicted future development. This research examines the Big Data and Analytics market in depth, including its advantages, buyer economic viability, inquiries, and more. The research describes the market based on the major manufacturers, various varieties, various applications, and distinct localities. These seasoned rivals have access to a variety of critical resources and R&D assistance. The companies are also working on developing new feedstock and technologies.
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This research was conducted utilizing several methods, including primary and secondary research. Primary research consists of surveys, interviews, and comments from experts on the subject, whereas secondary research entails evaluating large amounts of data from a variety of sources, including company websites, governmental publications, and trade organizations. The COVID-19 outbreak has had a substantial influence on the global market Big Data and Analytics, producing supply, demand, and production issues. The paper examines how the pandemic affected the Big Data and Analytics market and how industry participants responded to the worries.
The analysis of the global Big Data and Analytics market examines several market-related aspects, including value, trends, drivers, challenges, and opportunities. The report also includes comprehensive analyses of the leading companies in the industry’s market shares, corporate profiles, and competitive landscape.
Top Players in the Big Data and Analytics market report:
Microsoft, MongoDB, Predikto, Informatica, CS, Blue Yonder, Azure, Software AG, Sensewaves, TempoIQ, SAP, OT, IBM, Cyber Group, Splunk
The study supports in the selection of the next target markets by obtaining crucial details about the Big Data and Analytics organization. This streamlines the assessment of possible export markets, the presentation of genuine opportunities, and the identification of any impediments that target market exporters may face. The paper emphasizes cross-border prospects throughout. The study looks at the characteristics that market participants will need to boost their competitiveness and adapt to a more competitive environment. Various economic scenarios are researched to assist market players in organizing their organizations and making critical investment choices. The research focuses on nations that are establishing themselves as global commercial platforms.
The study identifies firms that are creating a worldwide lead in critical industries and producing high-value goods and services in their local market. During instances of declining sales volume, manufacturers rely on cost-cutting technologies such as COVID-19 to enhance profitability. International firms’ market share, market size, and GDP contribution in the worldwide Big Data and Analytics market. The author investigates the interactions of domestic manufacturers in the global Big Data and Analytics market, as well as how market cyclicality influences domestic Big Data and Analytics sales and output.
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Big Data and Analytics Market Segmentation:
Big Data and Analytics Market by Types:
Data Intergration
Data Storage
Data PresentationBig Data and Analytics Market by Applications:
LoT
M2M
Leading Results from Global Industry Research
• The study covers developing market segments, the parent Big Data and Analytics market, and major industry player strategies in depth. The market analysis, which contains volume and value information for the past, present, and future, as well as research results, is an important component of the study. As a result, this research assists new entrants in predicting the market’s future potential.
• It explains the report’s key size of market surveillance, cost assessments, and scope estimates from 2021 to 2031. Regardless of market behavior, establishing causes for business development requires a comprehensive examination of new and current market participants. The examination also examines the firm’s export and import opportunities, the demand-supply ratio, manufacturing labor costs, readily available key supplies, marketing materials, and the market for an aftermarket client base.
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The study offers a list of the major enterprises in the area, as well as their sales, profitability, and market shares. Worldwide Big Data and Analytics market research provides a variety of services, including competitive intelligence, market analysis, and business profiles.
Investors may consider taking part in this international Big Data and Analytics market study since it provides vital industry information and aids in the discovery of potential investment possibilities. The study assists investors in making sound judgments by providing market trends, development opportunities, and competitive intelligence. Investors who obtain this knowledge may get a competitive advantage and increase their returns on their investments.
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Capital CS Group LLC purchased a new stake in MongoDB, Inc. (NASDAQ:MDB – Free Report) during the second quarter, according to its most recent Form 13F filing with the SEC. The fund purchased 1,166 shares of the company’s stock, valued at approximately $479,000. MongoDB accounts for about 0.5% of Capital CS Group LLC’s portfolio, making the stock its 21st largest position.
A number of other institutional investors and hedge funds have also made changes to their positions in the stock. Global Retirement Partners LLC increased its stake in MongoDB by 346.7% during the 1st quarter. Global Retirement Partners LLC now owns 134 shares of the company’s stock worth $30,000 after buying an additional 104 shares during the period. Bessemer Group Inc. purchased a new stake in MongoDB during the 4th quarter worth approximately $29,000. BI Asset Management Fondsmaeglerselskab A S purchased a new stake in MongoDB during the 4th quarter worth approximately $30,000. Manchester Capital Management LLC purchased a new stake in MongoDB during the 1st quarter worth approximately $36,000. Finally, Clearstead Advisors LLC purchased a new stake in MongoDB during the 1st quarter worth approximately $36,000. 88.89% of the stock is owned by hedge funds and other institutional investors.
Analysts Set New Price Targets
Several brokerages recently weighed in on MDB. Argus upped their target price on shares of MongoDB from $435.00 to $484.00 and gave the stock a “buy” rating in a research note on Tuesday, September 5th. Macquarie boosted their price target on shares of MongoDB from $434.00 to $456.00 in a report on Friday, September 1st. Tigress Financial boosted their price target on shares of MongoDB from $365.00 to $490.00 in a report on Wednesday, June 28th. JMP Securities boosted their price target on shares of MongoDB from $425.00 to $440.00 and gave the stock a “market outperform” rating in a report on Friday, September 1st. Finally, Piper Sandler boosted their price target on shares of MongoDB from $400.00 to $425.00 and gave the stock an “overweight” rating in a report on Friday, September 1st. One research analyst has rated the stock with a sell rating, three have issued a hold rating and twenty-one have given a buy rating to the stock. According to data from MarketBeat, the stock presently has an average rating of “Moderate Buy” and an average target price of $418.08.
Read Our Latest Analysis on MongoDB
MongoDB Stock Down 1.0 %
Shares of NASDAQ:MDB opened at $362.13 on Friday. The stock has a market cap of $25.84 billion, a P/E ratio of -104.66 and a beta of 1.11. The firm has a fifty day moving average price of $385.82 and a 200 day moving average price of $316.18. The company has a debt-to-equity ratio of 1.29, a current ratio of 4.48 and a quick ratio of 4.48. MongoDB, Inc. has a 1-year low of $135.15 and a 1-year high of $439.00.
Insider Buying and Selling
In related news, CRO Cedric Pech sold 360 shares of the stock in a transaction on Monday, July 3rd. The shares were sold at an average price of $406.79, for a total transaction of $146,444.40. Following the completion of the sale, the executive now owns 37,156 shares in the company, valued at approximately $15,114,689.24. The sale was disclosed in a document filed with the SEC, which can be accessed through the SEC website. In other MongoDB news, CRO Cedric Pech sold 360 shares of the company’s stock in a transaction on Monday, July 3rd. The shares were sold at an average price of $406.79, for a total transaction of $146,444.40. Following the completion of the transaction, the executive now owns 37,156 shares in the company, valued at approximately $15,114,689.24. The sale was disclosed in a legal filing with the SEC, which can be accessed through this link. Also, Director Dwight A. Merriman sold 4,000 shares of the company’s stock in a transaction on Monday, July 3rd. The stock was sold at an average price of $407.11, for a total transaction of $1,628,440.00. Following the transaction, the director now owns 1,214,765 shares of the company’s stock, valued at approximately $494,542,979.15. The disclosure for this sale can be found here. Insiders sold a total of 97,520 shares of company stock worth $39,180,574 in the last 90 days. Company insiders own 4.80% of the company’s stock.
MongoDB Profile
MongoDB, Inc provides general purpose database platform worldwide. The company offers MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.
See Also
Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDB – Free Report).
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.
Before you consider MongoDB, you’ll want to hear this.
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Go 1.21 toolchain is the first Go toolchain to be perfectly reproducible. This makes it possible to reduce the risk that a malicious actor can tamper with the output binaries, explains Google engineer Russ Cox, to carry through a supply chain attack.
A reproducible build generates the same outputs every time it starts from the same sources and inputs. This makes it possible for anyone to verify that any posted binary is free of malicious changes by re-creating the build and comparing the output with the posted binary.
That approach proves the binaries have no backdoors or other changes not present in the source code, without having to disassemble or look inside them at all. Since anyone can verify the binaries, independent groups can easily detect and report supply chain attacks.
Lack of reproducibility means that a malicious actor could modify the generated binaries in a downstream computer, which is usually easier than modifying the upstream source code, without those changes being detectable by its original authors or users alike. The momentum that reproducibility is gaining in the open source community is also attested by the new Reproducible Builds initiative.
This is particularly a concern for developers collaborating on privacy or security software: attacking these typically result in compromising particularly politically-sensitive targets such as dissidents, journalists and whistleblowers, as well as anyone wishing to communicate securely under a repressive regime.
As Cox explains, older Go toolchains enabled reproducible builds, but only with a significant effort. Go 1.21 has introduced a number of changes that make this process seamless by eliminating any relevant inputs, that is inputs to the build process that affect its output, except for the source code itself.
Common relevant inputs that end up being detrimental to reproducibility include the specific versions of the source code or any dependencies, the OS or CPU architecture, the compiler version, the user/group running the build, and so on. According to Cox, while documenting any relevant inputs does indeed provide a way to make builds reproducible, the only way to make them easily reproducible, aka perfectly reproducible, is by getting rid of any relevant input besides the source code proper.
The road to have reproducible Go toolchain started in Go 1.10, where a number of key decisions where taken, including reducing randomness when iterating over maps or executing goroutines and copying libraries used by the compiler into the source tree, such as sort and compress/zlib to avoid that updating any of those libraries on the build system could produce different binaries.
Go 1.20 and 1.21 added the remaining building blocks towards achieving perfect reproducibility. Those included rewriting the net package in Go to avoid having to depend on the build host C toolchain, improving the portability of binaries generated by Go linker, using the module path instead of the source directory path for all internal paths in the runtime and debugging metadata, making floating point code generation uniform across platforms, and more.
With all these changes in place, says Cox, the Go toolchain is perfectly reproducible. As a matter of fact, Google builds all Go distributions on two very different systems, a trusted Linux/x86-64 host and a Windows/x86-64 host, and verifies they produce bit-for-bit identical binaries or else scrap the build.
For other developers to carry through the same verification, Google has published a verifier, which will rebuild the current Go version, checking it matches the official archives.
Cox’s article includes far more technical information than can be covered here, so do not miss it if you are interested in the full detail.
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“
The NoSQL Databases Market research report provides detailed observation of several aspects, including the rate of growth, regional scope and recent developments by the primary market players. The report offers Porter’s Five Forces, PESTEL, and market analysis to provide a 360-degree research study on the global NoSQL Databases market. The research study discusses about important market strategies, future plans, market share growth, and product portfolios of leading companies. The final report copy provides the impact analysis of novel COVID-19 pandemic on the NoSQL Databases market as well as fluctuations during the forecast period.
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Key Competitors of the Global NoSQL Databases Market are:
Accumulo, Aerospike, Amazon SimpleDB, Azure Table, Cassandra, BigTable, Couchbase Server, CouchDB, Dynamo DB, Elasticsearch, Flink, HBase, HPCC Systems, Hypertable, MongoDB, NeDB, Oracle NoSQL, Riak, Redis.
Scope of the Report
This research report categorizes the NoSQL Databases market on the basis of different applications of NoSQL Databases, geographical analysis, forecasting revenues, and analyzing trends in the NoSQL Databases market.
Market by Type
Key-Value Stores, Wide-Column Stores, Document Databases, Graph Databases, Others
Market by Application
For Education Use, For Commercial Use, For Research Use, Public Service, Others
Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global NoSQL Databases market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast for various segments and sub-segments considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market.
Report Methodology:
The information enclosed in this report is based upon both primary and secondary research methodologies.
Primary Research:
During the first survey, we interviewed various key sources of supply and demand to obtain qualitative and quantitative information related to NoSQL Databases report. Key supply sources include key industry participants, subject matter specialists from key companies, and consultants from several major companies and organizations active in the NoSQL Databases market.
Secondary Research:
The second study was conducted to obtain key information on the supply chain of the NoSQL Databases industry, the market’s currency chain, pools of major companies, and market segmentation, with the lowest level, geographical NoSQL Databases market, and technology-oriented perspectives. Secondary data was collected and analyzed to reach the total market size, which was verified by the first survey in the NoSQL Databases Report.
Key Indicators Analysed
Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2016-2030 & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.
Global and Regional Market Analysis: The report includes Global & Regional market status and outlook 2016-2030. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.
Market Trends: Market key trends which include Increased Competition and Continuous Innovations.
Opportunities and Drivers: Identifying the Growing Demands and New Technology
Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry.
Table of Content (TOC):
Chapter 1 Introduction and Overview
Chapter 2 Industry Cost Structure and Economic Impact
Chapter 3 Rising Trends and New Technologies with Major key players
Chapter 4 Global NoSQL Databases Market Analysis, Trends, Growth Factor
Chapter 5 NoSQL Databases Market Application and Business with Potential Analysis
Chapter 6 Global NoSQL Databases Market Segment, Type, Application
Chapter 7 Global NoSQL Databases Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of NoSQL Databases Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion
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NoSQL Software Market Research Report 2029, Growth Trends and Competition – Laguna Now
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Statsndata has released a comprehensive report on the collection, analysis, and interpretation of NoSQL Software Market data. This report highlights the importance of leveraging such data to foster not only individual business growth but also the overall progress of the entire service-industries industry.
You can access a sample of this report here:https://www.statsndata.org/download-sample.php?id=48377
The report provides a thorough overview of the NoSQL Software market, encompassing its definition, applications, development, and manufacturing technology. It meticulously tracks recent NoSQL Software market developments and innovations, offering valuable insights into overcoming challenges that businesses may encounter while pursuing growth.
Key industry players, including:
• MongoDB
• Amazon
• ArangoDB
• Azure Cosmos DB
• Couchbase
• MarkLogic
• RethinkDB
• CouchDB
• SQL-RD
• OrientDB
• RavenDB
• Redis
• Microsoft, are featured prominently in the report, shedding light on their business strategies, financial status, and upcoming products
The research for this NoSQL Software market report employed various methods, such as surveys, focus groups, interviews, and observations. Data was collected in both qualitative and quantitative forms. NoSQL Software qualitative data encompassed opinions and attitudes, while quantitative data was expressed in statistical figures. These results were meticulously analyzed to draw conclusions and inform decision-making.
The NoSQL Software report also provides a regional perspective, highlighting key markets in:
• North America
• South America
• Asia Pacific
• Middle East and Africa
• Europe
Market segmentation is a crucial aspect, categorizing the market by type, product, and end-user. This segmentation enhances the accuracy of market descriptions.
NoSQL Software Market Segmentation Analysis includes:
NoSQL Software Market segmentation : By Type
• E-Commerce
• Social Networking
• Data Analytics
• Data Storage
• Others
NoSQL Software Market Segmentation: By Application
• Cloud Based
• Web Based
For customizations and specific requests, you can visit: https://www. statsndata.org/request-customization.php?id=48377
The report’s primary objectives are:
- To provide qualitative and quantitative analysis of NoSQL Software market trends, dynamics, and forecasts from 2023 to 2029.
- To utilize analytical tools like SWOT analysis and Porter’s Five Forces analysis to assess the profit potential for NoSQL Software buyers and suppliers, aiding them in strategic decision-making.
- To conduct in-depth market segmentation analysis, uncovering existing market opportunities.
- Ultimately, to save businesses time and money by consolidating unbiased information in one accessible source.
Conclusion
In conclusion, this market research is an essential tool for companies to identify optimal strategies, recognize opportunities, and mitigate threats. Staying informed about the latest NoSQL Software market trends and developments is vital for maintaining competitiveness in the industry.
Table Of Content
Chapter 1 NoSQL Software Market Overview
1.1 Product Overview and Scope of NoSQL Software
1.2 NoSQL Software Market Segmentation by Type
1.3 NoSQL Software Market Segmentation by Application
1.4 NoSQL Software Market Segmentation by Regions
1.5 Global Market Size (Value) of NoSQL Software (2018-2029)
Chapter 2 Global Economic Impact on NoSQL Software Industry
2.1 Global Macroeconomic Environment Analysis
2.2 Global Macroeconomic Environment Analysis by Regions
Chapter 3 Global NoSQL Software Market Competition by Manufacturers
3.1 Global NoSQL Software Production and Share by Manufacturers (2023 and 2023)
3.2 Global NoSQL Software Revenue and Share by Manufacturers (2023 and 2023)
3.3 Global NoSQL Software Average Price by Manufacturers (2023 and 2023)
3.4 Manufacturers NoSQL Software Manufacturing Base Distribution, Production Area and Product Type
3.5 NoSQL Software Market Competitive Situation and Trends
Chapter 4 Global NoSQL Software Production, Revenue (Value) by Region (2018-2023)
4.1 Global NoSQL Software Production by Region (2018-2023)
4.2 Global NoSQL Software Production Market Share by Region (2018-2023)
4.3 Global NoSQL Software Revenue (Value) and Market Share by Region (2018-2023)
4.4 Global NoSQL Software Production, Revenue, Price and Gross Margin (2018-2023)
Continue…
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AWS has recently introduced Dedicated Local Zones, enabling customers to isolate sensitive workloads to meet their digital sovereignty requirements. This new option is designed for public sector and regulated industry customers who need dedicated infrastructure.
Managed by AWS but placed in a customer-specified location or data center, AWS Dedicated Local Zones are built exclusively for a single customer and help meet stringent security and compliance requirements. Matt Garman, senior vice president at AWS, explains:
Dedicated Local Zones can be operated by local AWS personnel and offer the same benefits of Local Zones, such as elasticity, scalability, and pay-as-you-go pricing, with added security and governance features. These features include data access monitoring and audit programs, controls to limit infrastructure access to customer-selected AWS accounts, and options to enforce security clearance or other criteria on local AWS operating personnel.
Currently available in 33 areas around the world with 19 new locations already announced, AWS Local Zone is a deployment option that places compute, storage, database, and other services closer to customers for data residency or reduced latency. Dedicated Local Zones offer the same advantages but they run on physically separate infrastructure that can be setup in multiple locations. Garman adds:
Customers can deploy multiple Dedicated Local Zones for resiliency and simplify their applications’ architecture by using consistent AWS infrastructure, APIs, and tools across different classifications of applications running in AWS Regions and Dedicated Local Zones.
The new option is part of the Digital Sovereignty Pledge that AWS announced last year. This pledge is founded on four pillars: control over the location of data, verifiable control over data access, the ability to encrypt everything, and cloud resilience.
Corey Quinn, chief cloud economist at The Duckbill Group, highlights in his newsletter how Dedicated Local Zones can reduce the pressure for new regions:
This is a subtle and remarkably genius play by AWS; it feels like it’s an end run around the growing realization by governments that they can shake down cloud providers for region-sized investments by passing data residency laws.
The cloud provider highlights the difference between the new option and the existing AWS Outposts:
AWS Outposts is designed for workloads that need to remain on-premises due to latency requirements, where customers want those workloads to run seamlessly with their other workloads in AWS (…) AWS Dedicated Local Zones are designed to eliminate the operational overhead of managing on-premises infrastructure at scale.
Dedicated Local Zones currently support a subset of AWS services, mainly targeting virtual machines and Kubernetes clusters: EC2, EBS, ELB, ECS, EKS, and Direct Connect. Deployment costs are based on the location, data center, services, and features required, with no public prices available.
According to AWS, the Singapore Government’s Smart Nation and Digital Government Group is the first government to run workloads on the cloud with the new deployment option.
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Empower Advisory Group LLC, a prominent institutional investor, has recently made an impressive move in the market. As per their latest filing with the Securities and Exchange Commission (SEC), the company acquired a new position in MongoDB, Inc. (NASDAQ:MDB) during the first quarter of this year. The acquisition involved 32,184 shares of MongoDB’s stock which were valued at approximately $7,302,000.
MongoDB, Inc. is a globally recognized provider of a general-purpose database platform. With its innovative offerings, it aims to cater to the needs of businesses worldwide. One of MongoDB’s flagship products is MongoDB Atlas, which is a hosted multi-cloud database-as-a-service solution that allows organizations to efficiently manage their data on the cloud. Additionally, the company also offers MongoDB Enterprise Advanced – a commercial database server designed specifically for enterprise customers who wish to operate their databases either in the cloud or on-premise, or even in a hybrid environment.
Furthermore, MongoDB provides developers with an entry point through its Community Server. This version of its database can be downloaded free of charge and includes all the essential functionalities needed to kickstart development projects utilizing MongoDB.
Empower Advisory Group LLC’s decision to acquire shares of MongoDB signifies its confidence in the company’s potential for growth and success in the market. This move by the institutional investor reflects not only their faith in MongoDB as an investment opportunity but also highlights their dedication towards expanding their portfolio with promising assets.
Investors and industry experts alike may find this recent development intriguing as Empower Advisory Group LLC traditionally makes calculated investment decisions based on comprehensive research and analysis. It is important to monitor these developments closely as they have been known to influence market sentiment.
As September 2023 unfolds and financial quarters progress, it will be interesting to observe how this strategic investment by Empower Advisory Group LLC positively impacts both institutions involved – Empower Advisory Group LLC itself and MongoDB, Inc. In turn, shareholders and stakeholders associated with these entities can expect to gain deeper insights into their investment potential and market performance.
While it is important to note that the information provided here is based on filings made by Empower Advisory Group LLC with the SEC, there may be additional factors that could have influenced this investment decision. As investors eagerly await more news regarding this acquisition, it is essential to maintain an informed approach and consult relevant financial professionals before making any investment decisions of their own.
As always, staying updated with the latest company developments, market trends, and relevant economic indicators will prove crucial for both experienced investors and those new to the field. This ensures one’s ability to make well-informed decisions in an ever-evolving financial landscape.
DiamondRock Hospitality Company
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Updated on: 15/09/2023
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Date:15 September, 2023
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MongoDB: Growing Interest from Investors and Positive Analyst Ratings
MongoDB, Inc. is a global provider of a general purpose database platform. The company’s offerings include MongoDB Atlas, a hosted multi-cloud database-as-a-service solution, MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in various environments, and Community Server, a free-version of its database with necessary developer functionalities.
Recently, Bessemer Group Inc. acquired shares of MongoDB worth $29,000 in the fourth quarter, while BI Asset Management Fondsmaeglerselskab A S purchased shares valued at $30,000 during the same period. Global Retirement Partners LLC also increased its stake in MongoDB by 346.7% during the first quarter with an additional 104 shares valued at $30,000. Manchester Capital Management LLC and Clearstead Advisors LLC bought shares worth approximately $36,000 each in the first quarter. Currently, hedge funds and institutional investors own about 88.89% of MongoDB’s stock.
Equities research analysts have provided ratings for MDB shares as well. Tigress Financial raised their target price from $365.00 to $490.00, while Capital One Financial initiated coverage with an “equal weight” rating and a target price of $396.00 for the company’s stock. Citigroup also raised their target price from $430.00 to $455.00 and assigned a “buy” rating to MDB stock on August 28th. Robert W. Baird raised their target price from $390.00 to $430.00 in late June while JMP Securities upped their price target from $425.00 to $440.00 and gave the company a “market outperform” rating on September 1st.
MongoDB stock opened at $365.92 on September 15th with a quick ratio of 4.19 and current ratio of 4.48.The company has a market capitalization of around $26.11 billion, a negative price-to-earnings ratio of -105.76, and a beta of 1.11. The stock’s 50-day moving average stands at $386.35 while its 200-day moving average is $314.36. Over the past year, MDB shares have traded between $135.15 and $439.00.
Furthermore, in recent news, CAO Thomas Bull sold 516 shares of MongoDB’s stock for an average price of $406.78 on July 3rd with a total value of approximately $209,898.48. Following the sale, Bull holds 17,190 shares valued at around $6,992,548.20. Another sale was made by CRO Cedric Pech who sold 360 shares at an average price of $406.79 on the same day for a total value of approximately $146,444.40.The insider transactions by company executives in the last 90 days amount to selling 97,520 shares worth $39,180,574 representing about 4.80% ownership of MDB’s stock.
In summary, MongoDB continues to attract the interest of hedge funds and institutional investors as evident from recent acquisitions made by Bessemer Group Inc., BI Asset Management Fondsmaeglerselskab A S, Global Retirement Partners LLC, Manchester Capital Management LLC, and Clearstead Advisors LLC.
Various equities research analysts have provided positive ratings for MDB stock with raised target prices from Tigress Financial ($490) and Citigroup ($455). It is important to note that MongoDB provides platforms like MongoDB Atlas and MongoDB Enterprise Advanced that cater to different customers’ needs in various environments.
Despite recent insider selling by executives such as CAO Thomas Bull and CRO Cedric Pech,the company’s stock has shown stability with strong market capitalization.
The future looks promising for MongoDB as it continues to be recognized by analysts for its potential growth and innovative database solutions.
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Feature It has been a decade since Amazon RDS launched support for PostgreSQL. Since then, the relational system authored by Turing Award winner Michael Stonebraker in the 1980s has gone on to become the most popular database among professional developers, used by nearly half of them, according to Stack Overflow’s 2023 Developer Survey.
I’ve seen people seduced by the cloud provider, and they fire their DBAs and everybody who knows about databases, but then they figure out when they need schema design, and query optimization – well, Amazon’s not going to help them
In parallel to PostgreSQL’s rise in popularity comes a bewildering array of ways to deploy the database system in the cloud or exploit PostgreSQL-compatible database services. For example, as well as hosting standard versions of PostgreSQL as in RDS, the major three cloud providers, including Azure and Google, also provide PostgreSQL-compatiable enhanced database services such Aurora and AlloyDB.
Meanwhile, some vendors have created serverless systems with PostgreSQL-compatible front ends, such as CockroachDB and Yugabyte.
And that’s just PostgreSQL. Similar options are available for other popular database systems, including MySQL, MongoDB and MariaDB. To navigate these choices, developers and database administrators need to understand the strengths and weaknesses of each approach.
As the author of the MySQL performance bible and founder and former CEO of opensource database consultancy Percona, Peter Zaitsev has witnessed the rise of the various ways of deploying database in the cloud and cautions about making choices lightly.
Fully managed or put in some grunt?
Whether the users might want to manage their deploy in a VM or adopt a serverless system managed by a vendor will depend on how much work they want to do, how much control and flexibility they want to have and how much they can tolerate being locked into a particular vendor.
Added into the mix, the cloud vendors offer proprietary databases for specific workloads, for Amazon offers DynamoDB, a fully managed proprietary value-key database, while Google offers BigQuery, a fully managed, serverless data warehouse.
“These systems are only available if you buy them from a specific cloud vendor: you cannot run it on your own,” Zaitsev said.
Alternatively, users can get a standard system based on a popular open source database like PostgreSQL or MySQL, but significantly enhanced and presented as a fully managed service like Amazon Aurora, and Google’s AlloyDB.
Lastly, there are fully managed “shrinkwrapped” services based on MySQL or PostgreSQL, such as Googles Cloud SQL or Amazon’s RDS.
“This is some standard database technology just with some GUI and interface on top of it and some automatic backups and stuff like that,” Zaitsev said.
Going from first to last, users face the most lock-in to the least lock-in with each of these choices. But they should also question what cloud vendors mean by a “fully managed service.”
“That is what the cloud vendors recommend to users and what they push them towards, and it also typically comes with the highest cost, because they charge more for that compared to just the basic infrastructure to run a database,” he said.
Don’t fire the DBAs!
“But when they talk about a fully managed services, you can ask, ‘OK, who’s responsible for performance or security?’ And they come back and say ‘This is a shared responsibility.’ They expect you to do your part while they keep the environment up and running. That is often misunderstood. I’ve seen people seduced by the cloud provider, and they fire their DBAs and everybody who knows about databases, but then they figure out when they need schema design, and query optimization – well, Amazon’s not going to help them. Any cloud provider would turn around and say, ‘Hey, guys, we are keeping the database up and running, but all that stuff, which is specific to application and database usage, is on you’,” Zaitsev said.
Another challenge to using shrink-wrapped or enhanced database services from the cloud vendors arrives when users want to use systems across cloud infrastructure from different cloud providers, according to corporate policy or geographic limitations.
“Amazon RDS, for example, sounds simple until you have to run it in different clouds. Then you have to deal with the nuances of RDS and the cloud infrastructure as well, and then it becomes very complicated,” Zaitsev said.
Users can manage database deployment in the cloud themselves using virtual machines, but the fastest growing approach to cloud deployment of database is via Kubernetes, the open-source container orchestration which originated with Google.
“It gives us a programmable infrastructure, which is much more flexible and advanced than you get just dealing with VMs. At the same time, can you run it on-prem and on all the clouds. Kubernetes has become much more mature and much more capable to run a database compared to the early stages when it was designed to be as solutions for stateless applications,” Zaitsev said.
Into the throng of database options in the cloud, a group of vendors have begun offering serverless systems, which is their own back end, but a front end compatible with a common database. For examples, CockroachDB and Yugabyte both offer serverless database with PostgreSQL-compatible front end.
In June, Cockroach CEO and co-founder Spencer Kimball told The Register it took five years to port the serverless system to Azure, a “non-trivial amount of work” that involved understanding the tolerances and failure of a different cloud architecture.
While Yugabyte claims 100 percent compatibility with PostgreSQL, and MariaDB recently launched a PostgreSQL-compatible front end to its distributed MariaDB back end, Kimball admitted CockroachDB does not have full PostgreSQL compatibility, but it is getting there.
Users, however, should question what lies behind serverless databases, Zaitsev said. “There are really servers in the end, right? It is just you are not charged for them and you may or may not be aware about what is going on with the servers.”
One approach to serverless was to scale the instance size up and down according to the load. Another was to offer a multi-tenant approach in Google Spanner or CockroachDB.
“They have a different idea. You have a distributed database which is shared by multiple tenants. The benefit of that approach is, you have more ready to use capacity, which can be dynamically shared. If you need more resources, you don’t need to reallocate and spin up the larger instance size,” Zaitsev said.
Serverless is convenient if the load is very irregular. Users do not pay for keeping a system up and running when it is not in use. On the other hand, if the system is well used, and the operator understands and can predict demands on the system, then it can become less valuable from a pricing perspective, he said.
Earlier this year, Gartner said the DBMS market grew by 14.4 percent in 2022, reaching $91 billion, with the cloud platform-as-a-service model capturing nearly all the gain, with cloud spend at 55 percent exceeding on-premises at 45 percent.
The progress to the cloud is slower than Gartner predicted in 2019, when it said by 2022 75 percent of all databases would be deployed or migrated to a cloud platform. Users seem to be taking their time to navigate the many options available to them in deciding their future database strategy. ®