August 2023 - Page 5 of 30 - Mobile Monitoring Solutions

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Selecting Right Database for right workload – Finextra Research

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Enterprises are nowadays working on modernize and trying to come out of legacy systems which are hard to maintain. Time consuming in terms of ready to market. Some are not that customer centric. Hence while working on the modernization of technology stack,
one often asked question would be: What could be my target database engine? Where should my application be hosted? Where should be my Databases hosted? With all of these I need to address my RPO/RTO requirements.

There is no thumb rule to address to pick the right database for right type of use case. As there are hundreds are options available with all their own pro and cons. We need to diligently select the databases most probably pick two or three that meets your
criteria.

Before shortlisting any specific databases, have a deep understanding of the business requirements to determine the application functionalities and then the type of database application that might need to be implemented. The biggest question about implementation
is, should we go with “SQL or NoSQL” and “On-premises or Cloud”

Most of the time business demands cost savings to meet the TCO. There are lot of options available which does not demand the licensing and most of the enterprises gets attracted to such products. Cost saving can impact the overall project when it comes to
architecture, performance and availability. These products come with different capabilities to address the real-world issue. Each of these products offers various range of solutions hence it becomes difficult to pick the one that suits one’s need.

Business Driver for Data-Strategy

As this is enterprise-wide change there must be some business motive behind this exercise, it could be either one or multiple for the below:

Improve IT infrastructure and reduce data-related costs (number of databases, etc.)
Generate return on investments in big data and analytics infrastructure
Leverage new sources of data, internal or external
Improve the quality of data
Rationalize multiple sources of the same data and information
Monetize the value of the company’s data; use internal data as a product or service
Meet industry regulatory requirements
Optimize existing strong bench of analysts and data scientists
Prevent cyber attacks and data breaches
Create new products and services
Develop analytics and digital capabilities
Reduce general operating expenses and streamline business processes
Use sophisticated, real-time or near real-time analytics for business
Mitigate operational risks such as data breaks, fraud, etc.
Improve revenue through cross-sell, pricing, and expanded customer base
Respond rapidly to competitors and market changes

To address the business requirement, one must know what’s there in the current set-up. For this careful approach need to be chosen to deep dive and understand. Identify the duplicates and try to eliminate. The care should be taken to get rid of the unwanted
/ outdated to be scrapped or replaced. Some COTS to be reviewed to make sure the latest and better solution available in the market to replace those. Database migration is one aspect to look at but we must not ignore the applications it is connecting to. Hence
this approach should be looked in to application point of view.

Application analysis:

Collect all the application with their technology stack
Understand the nature of application
Group them on the nature of business and the Users (inhouse or external)
Scaling requirement
Business criticality
Size in terms of DB size, transaction volumes, Transaction type (Read/Write), number of users connecting simultaneously, User Geography
Are you planning for applications to be DB agnostic in the future state

ETC.

Select a couple of databases in the chosen database category:

Map each application to a relational database (SQL) or NoSQL categories.
Select two databases based on the mapping.
Carry out in-depth study of the chosen Databases to ensure it meets your application demands.
Tool availability to migrate to target DB and Application
Determine the timeline for entire program

Consider following before starting the database evaluation process.

What would be your hosting plan?

On-premises — you would provision and manage everything on your data center — the host machines, the operating system, and the database cluster.

Cloud-hosted — a cloud provider (e.g. AWS, GCP, Azure) would provision and manage the host machines, whereas you would manage the operating system and the database cluster on those cloud-hosted machines.

Managed database as a service — a database service provider would provide and manage everything for you. E.g. DynamoDB by AWS. Based on the requirements, both parties (you and the service provider) agree on an SLA and the necessary cost is charged by the
provider based on the usage. Be aware of the vendor locking with some solutions, which means, migrating back to On-premises or Cloud hosted approaches in the future might not be straightforward.

Would you like to go with the Enterprise or Community edition?

Enterprise edition — paid software version with advanced features and support.
Community edition — free software version with basic features and no support.

Criteria for choosing a database:

Database procurement staff pay more attention to purchase costs, including storage and network requirements.
Database administrators (DBAs) care about:
- Operation and maintenance costs:
  - A reliable monitoring and alerting system
  - Support for backup and restore
  - Reasonable upgrade and migration costs
  - An active support community
  - Ease of performance tuning
  - Ease of troubleshooting
- Service stability:
  - Support for multiple data replicas
  - Highly available services
  - Support for multiple writes and multi-active architecture
- Performance:
  - Latency
  - Queries per second (QPS)
  - Whether it supports more advanced hierarchical storage features
- Scalability: Whether it’s easy to scale horizontally and vertically
- Security: Whether it meets audit requirements and prevents SQL injections and information leakage
Application developers care about:
- Stable services
- Performance
- Scalability
- Ease of developing database interface
- Ease of modifying the database schema

Conclusion:

Process of selecting right database need to crafted carefully. Organization should work on decision making tree to address core business need based on the above points.

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Oppenheimer Asset Management Inc. Boosts Stock Holdings in MongoDB, Inc. (NASDAQ:MDB)

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Oppenheimer Asset Management Inc. grew its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 33.9% in the 1st quarter, according to the company in its most recent filing with the Securities and Exchange Commission (SEC). The institutional investor owned 1,865 shares of the company’s stock after purchasing an additional 472 shares during the quarter. Oppenheimer Asset Management Inc.’s holdings in MongoDB were worth $435,000 as of its most recent SEC filing.

Other institutional investors have also recently made changes to their positions in the company. Private Advisor Group LLC purchased a new stake in MongoDB in the 1st quarter worth $700,000. Vanguard Personalized Indexing Management LLC increased its holdings in MongoDB by 11.2% in the 1st quarter. Vanguard Personalized Indexing Management LLC now owns 6,362 shares of the company’s stock worth $1,483,000 after acquiring an additional 639 shares in the last quarter. LPL Financial LLC increased its holdings in MongoDB by 8.5% in the 1st quarter. LPL Financial LLC now owns 22,757 shares of the company’s stock worth $5,305,000 after acquiring an additional 1,784 shares in the last quarter. Pictet Asset Management SA increased its holdings in MongoDB by 2.6% in the 1st quarter. Pictet Asset Management SA now owns 23,681 shares of the company’s stock worth $5,521,000 after acquiring an additional 598 shares in the last quarter. Finally, Keybank National Association OH increased its holdings in MongoDB by 20.9% in the 1st quarter. Keybank National Association OH now owns 1,915 shares of the company’s stock worth $446,000 after acquiring an additional 331 shares in the last quarter. 88.89% of the stock is owned by hedge funds and other institutional investors.

MongoDB Stock Performance

NASDAQ MDB opened at $354.32 on Tuesday. The firm’s 50-day moving average is $390.26 and its two-hundred day moving average is $300.69. MongoDB, Inc. has a 12 month low of $135.15 and a 12 month high of $439.00. The company has a quick ratio of 4.19, a current ratio of 4.19 and a debt-to-equity ratio of 1.44.

MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings results on Thursday, June 1st. The company reported $0.56 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $0.18 by $0.38. The company had revenue of $368.28 million for the quarter, compared to analyst estimates of $347.77 million. MongoDB had a negative net margin of 23.58% and a negative return on equity of 43.25%. The business’s revenue for the quarter was up 29.0% compared to the same quarter last year. During the same period in the prior year, the firm earned ($1.15) earnings per share. As a group, research analysts anticipate that MongoDB, Inc. will post -2.8 earnings per share for the current fiscal year.

Insiders Place Their Bets

In other MongoDB news, CRO Cedric Pech sold 360 shares of the business’s stock in a transaction dated Monday, July 3rd. The shares were sold at an average price of $406.79, for a total transaction of $146,444.40. Following the sale, the executive now directly owns 37,156 shares in the company, valued at $15,114,689.24. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through the SEC website. In related news, Director Dwight A. Merriman sold 6,000 shares of the company’s stock in a transaction that occurred on Friday, August 4th. The shares were sold at an average price of $415.06, for a total transaction of $2,490,360.00. Following the sale, the director now directly owns 1,207,159 shares in the company, valued at $501,043,414.54. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through this link. Also, CRO Cedric Pech sold 360 shares of the company’s stock in a transaction that occurred on Monday, July 3rd. The stock was sold at an average price of $406.79, for a total transaction of $146,444.40. Following the sale, the executive now owns 37,156 shares in the company, valued at $15,114,689.24. The disclosure for this sale can be found here. Insiders have sold 102,220 shares of company stock worth $38,763,571 over the last three months. Company insiders own 4.80% of the company’s stock.

Wall Street Analyst Weigh In

Several brokerages recently commented on MDB. Tigress Financial boosted their price target on shares of MongoDB from $365.00 to $490.00 in a report on Wednesday, June 28th. Mizuho upped their target price on shares of MongoDB from $220.00 to $240.00 in a report on Friday, June 23rd. William Blair reaffirmed an “outperform” rating on shares of MongoDB in a report on Friday, June 2nd. Needham & Company LLC upped their target price on shares of MongoDB from $250.00 to $430.00 in a report on Friday, June 2nd. Finally, 58.com reaffirmed a “maintains” rating on shares of MongoDB in a report on Monday, June 26th. One analyst has rated the stock with a sell rating, three have issued a hold rating and twenty have assigned a buy rating to the company’s stock. Based on data from MarketBeat, the stock has an average rating of “Moderate Buy” and a consensus price target of $379.23.

Get Our Latest Analysis on MongoDB

MongoDB Profile

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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.

MongoDB (NASDAQ:MDB) Given New $455.00 Price Target at Citigroup – Defense World

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MongoDB (NASDAQ:MDB – Free Report) had its target price boosted by Citigroup from $430.00 to $455.00 in a report published on Monday, Marketbeat Ratings reports. They currently have a buy rating on the stock.

MDB has been the subject of several other research reports. Morgan Stanley increased their target price on MongoDB from $270.00 to $440.00 in a research note on Friday, June 23rd. Guggenheim downgraded MongoDB from a neutral rating to a sell rating and raised their price objective for the stock from $205.00 to $210.00 in a research report on Thursday, May 25th. They noted that the move was a valuation call. The Goldman Sachs Group raised their price objective on MongoDB from $420.00 to $440.00 in a research report on Friday, June 23rd. KeyCorp raised their target price on MongoDB from $372.00 to $462.00 and gave the stock an overweight rating in a research report on Friday, July 21st. Finally, JMP Securities raised their target price on MongoDB from $400.00 to $425.00 and gave the stock an outperform rating in a research report on Monday, July 24th. One equities research analyst has rated the stock with a sell rating, three have given a hold rating and twenty have issued a buy rating to the company’s stock. Based on data from MarketBeat, the company currently has a consensus rating of Moderate Buy and a consensus target price of $379.23.

Get Our Latest Stock Analysis on MongoDB

MongoDB Stock Performance

Shares of MDB stock opened at $354.32 on Monday. The company has a debt-to-equity ratio of 1.44, a current ratio of 4.19 and a quick ratio of 4.19. MongoDB has a fifty-two week low of $135.15 and a fifty-two week high of $439.00. The stock’s 50-day moving average is $390.26 and its two-hundred day moving average is $300.69. The firm has a market cap of $25.01 billion, a P/E ratio of -75.87 and a beta of 1.13.

MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings data on Thursday, June 1st. The company reported $0.56 EPS for the quarter, beating analysts’ consensus estimates of $0.18 by $0.38. The business had revenue of $368.28 million for the quarter, compared to analyst estimates of $347.77 million. MongoDB had a negative return on equity of 43.25% and a negative net margin of 23.58%. The firm’s revenue for the quarter was up 29.0% on a year-over-year basis. During the same quarter in the prior year, the firm posted ($1.15) EPS. Analysts predict that MongoDB will post -2.8 earnings per share for the current fiscal year.

Insiders Place Their Bets

In other news, Director Dwight A. Merriman sold 6,000 shares of the firm’s stock in a transaction that occurred on Friday, August 4th. The shares were sold at an average price of $415.06, for a total transaction of $2,490,360.00. Following the completion of the sale, the director now owns 1,207,159 shares of the company’s stock, valued at approximately $501,043,414.54. The sale was disclosed in a legal filing with the SEC, which is accessible through this link. In other news, CEO Dev Ittycheria sold 20,000 shares of MongoDB stock in a transaction on Thursday, June 1st. The stock was sold at an average price of $287.32, for a total transaction of $5,746,400.00. Following the sale, the chief executive officer now directly owns 262,311 shares in the company, valued at approximately $75,367,196.52. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which is available at the SEC website. Also, Director Dwight A. Merriman sold 6,000 shares of the business’s stock in a transaction dated Friday, August 4th. The shares were sold at an average price of $415.06, for a total value of $2,490,360.00. Following the completion of the sale, the director now owns 1,207,159 shares in the company, valued at $501,043,414.54. The disclosure for this sale can be found here. In the last 90 days, insiders sold 102,220 shares of company stock worth $38,763,571. 4.80% of the stock is currently owned by insiders.

Institutional Inflows and Outflows

A number of hedge funds have recently added to or reduced their stakes in MDB. GPS Wealth Strategies Group LLC purchased a new position in MongoDB during the 2nd quarter valued at about $26,000. KB Financial Partners LLC purchased a new position in shares of MongoDB during the second quarter worth about $27,000. Capital Advisors Ltd. LLC grew its holdings in shares of MongoDB by 131.0% during the second quarter. Capital Advisors Ltd. LLC now owns 67 shares of the company’s stock worth $28,000 after purchasing an additional 38 shares in the last quarter. Bessemer Group Inc. purchased a new position in shares of MongoDB during the fourth quarter worth about $29,000. Finally, BI Asset Management Fondsmaeglerselskab A S purchased a new position in shares of MongoDB during the fourth quarter worth about $30,000. Hedge funds and other institutional investors own 88.89% of the company’s stock.

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Cloud-based Database Market Booming Worldwide From 2023-2030 By Key Players …

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Market Size And Forecast The Cloud-based Database Market has grown significantly in recent years, with an upward trend driven by escalating consumer demand and technical developments. The Cloud-based Database Market has experienced a spike in product offers, catering to a variety of demands and interests as sectors embrace innovation. Global expansion has also been aided by favourable economic conditions and strategic alliances. With the projected integration of cutting-edge technologies and changing Market dynamics, the view for the future is still positive. With a focus on continual improvement and client centricity, the Cloud-based Database Market is well-positioned to continue growing and establish itself as a major force in the world economy.

GET | Sample Of The Report: https://www.marketresearchintellect.com/download-sample/?rid=282758

The study uncovers key advancements in both organic and inorganic growth strategies within the worldwide Cloud-based Database Market. Many enterprises are prioritizing new product launches, approvals, and other strategies for business expansion. The study also delivers profiles of noteworthy companies in the Cloud-based Database Market, which includes SWOT analyses and their market strategies. The research puts emphasis on leading industry participants, providing details about their business profiles, the products and services they provide, recent financial figures, and significant developments. The section on Company Usability Profiles is as follows:

Amazon Web Services
MongoDB
Google
Microsoft
Oracle
IBM
Cassandra
Rackspace Hosting
Couchbase
Salesforce
SA Tencent
Alibaba
Teradata

The Cloud-based Database Market Statistical Research Report also includes extensive forecasts based on current Market trends and descriptive approaches. Quality, application, development, customer request, reliability, and other characteristics are constantly updated in the Cloud-based Database Market segments. The most critical adjustments in the item model, production technique, and refining phase are facilitated by little changes to an item.An Analysis of Cloud-based Database Market segmentation.

This Report Focuses On The Following Types Of Market :

SQL Database
NoSQL Database

According To this Report, The Most Commonly Used Application Of the Market Are:

Small and Medium Business
Large Enterprises

The paper exhibits a thorough awareness of competitor positioning, global, local, and regional trends, financial projections, and supply chain offerings in addition to information on segment classification. A thorough overview of the industry, including details on the supply chain and applications, is provided by Cloud-based Database industry research. A study has been conducted to analyse the Cloud-based Database Market’s current state and its potential for future growth.

Cloud-based Database Market Report Provides The Following Benefits To Stakeholders:

Detailed qualitative information on Market s with promising growth can be found in the analysis, as well as insights on niche Market s.
This report provides information on Market share, demand and supply ratios, supply chain analysis, and import/export details.
There is a detailed analysis of current and emerging Market trends and opportunities in the report.
An in-depth analysis provides an understanding of the factors that will drive or inhibit the Market ‘s growth.
It is conducted a thorough analysis of the industry by monitoring the top competitors and the key positioning of the key products within the Market context.
The Cloud-based Database Market Report offers a detailed qualitative and quantitative analysis of future estimates and current trends and assists in determining the Market potential for the present.

What questions should ask an expert? And Ask For Discount: https://www.marketresearchintellect.com/ask-for-discount/?rid=282758

What is the Purpose Of The Report?

It provides an in-depth analysis of the overall growth prospects of the global and regional Market s. Moreover, it provides an overview of the competitive landscape of the global Market . Furthermore, the report provides a dashboard overview of leading companies, including their successful Market ing strategies, Market contributions, and recent developments in both historic and current contexts.

What is the impact of Cloud-based Database Market forces on business?

An in-depth analysis of the Cloud-based Database Market is provided in the report, identifying various aspects including drivers, restraints, opportunities, and threats. This information allows stakeholders to make informed decisions prior to investing.

Our key underpinning is the 4-Quadrant which offers detailed visualization of four elements:

Customer Experience Maps
Insights and Tools based on data-driven research
Actionable Results to meet all the business priorities
Strategic Frameworks to boost the General Purpose Transistors growth journey

GET FULL INFORMATION ABOUT Click Here: Cloud-based Database Market Size And Forecast

Overview Of The Regional Outlook of this Cloud-based Database Market

The report offers information about the regions in the Market, which is further divided into sub-regions and countries. In addition to the Market share of each country and sub-region, information regarding lucrative opportunities is included in this chapter of the report. Share and Market growth rate of each region, country, and sub-region are mentioned in this chapter of the report during the estimated time period.

Geographic Segment Covered in the Report:

The Cloud-based Database report provides information about the market area, which is further subdivided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities. This chapter of the report mentions the market share and growth rate of each region, country and sub-region during the estimated period.

About Us: Market Research Intellect

Market Research Intellect is a leading Global Research and Consulting firm servicing over 5000+ global clients. We provide advanced analytical research solutions while offering information-enriched research studies.

We also offer insights into strategic and growth analyses and data necessary to achieve corporate goals and critical revenue decisions.

Our 250 Analysts and SMEs offer a high level of expertise in data collection and governance using industrial techniques to collect and analyze data on more than 25,000 high-impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.

Our research spans a multitude of industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverages, etc. Having serviced many Fortune 2000 organizations, we bring a rich and reliable experience that covers all kinds of research needs.

Contact the US:
Mr. Edwyne Fernandes
Market Research Intellect
US: +1 (650)-781-4080
US Toll-Free: +1 (800)-782-1768

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Google Launches Three New Cloud Storage Options: Cloud Storage FUSE, Parallelstore, NetApp Volumes

MMS • Steef-Jan Wiggers

Article originally posted on InfoQ. Visit InfoQ

Google recently launched three new cloud storage options: Cloud Storage FUSE for Artificial Intelligence (AI) applications that require file system semantics, a parallel file system Parallelstore for demanding AI and HPC applications that use GPUs, and NetApp Volumes for enterprise applications running in the cloud.

Cloud Storage FUSE was already available as an open-source version, allowing objects in Cloud Storage buckets to be accessed as files mounted as a local file system. The company enhanced it with new levels of portability, reliability, performance, and integration targeting AI Workloads. In a Google blog post, the authors Marco Abela, product manager, and Akshay Ram, senior product manager at Google, explain:

The new Cloud Storage FUSE is particularly important for AI workloads. Because applications can access data directly (rather than downloading it locally), there’s no custom logic to implement and less idle time for valuable resources like TPUs and GPUs while the data is copied over. Further, a new Cloud Storage FUSE CSI driver for Google Kubernetes Engine (GKE) allows applications to mount Cloud Storage using familiar Kubernetes API, and it’s offered as a turn-key deployment managed by GKE.

Overview of Cloud Storage FUSE (Source: Google blog post)

J.W. Davis, a Cloud evangelist, commented on the availability of FUSE file systems in GKE in a tweet:

This seems destined for many disasters. Useful for a very narrow range of use cases; most will misuse it and suffer.

In addition to Cloud Storage FUSE for AI applications, the company announces a private preview of a parallel file system called Parallelstore that helps users stop wasting precious GPU resources while at the same time, they wait for storage I/O by providing a high-performing parallel file storage solution for AI/ML and HPC workloads. The solution is based on the next-generation Intel Distributed Asynchronous Object Storage (DAOS) architecture.

Sameet Agarwal, VP/GM, Storage, and Sean Derrington, group product manager, Storage, explain in a Google blog post on the new cloud storage options:

Based on the next-generation Intel DAOS architecture, all compute nodes in a Parallelstore environment have equal access to storage, so VMs can get immediate access to their data. With up to 6.3x read throughput performance compared to competitive Lustre Scratch offerings., Parallelstore is well suited for cloud-based applications that require extremely high performance (IOPS and throughput) and ultra-low latency.

Finally, the third new cloud storage option is NetApp Volumes, a fully Google-managed, high-performance file storage service. This storage option is designed for enterprises that want to migrate their applications on top of NetApp storage arrays on-premises to the cloud. The service provides the capability to increase volumes from 100GiB to 100TiB for maximum scalability, implement ONTAP data management for hybrid workloads, and run either Windows or Linux applications as virtual machines without refactoring.

When asked by InfoQ about what is driving this investment from Google, here is what Derrington had to say:

As AI has become instrumental in automating data management, organizations are turning to the cloud to deliver the right storage solution for the right application. With Google Cloud’s new AI-optimized storage offerings, Cloud Storage FUSE and Parallelstore, we’re helping customers adapt to complex AI workloads by offering tailored storage solutions that simplify operations, unlock innovation, reduce costs, and more.

Cloud Storage FUSE and NetApp Volumes are available through the Google Cloud Console, while the Parallel Store is through a Google account manager.

About the Author

Steef-Jan Wiggers

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Oppenheimer Asset Management Inc. Boosts Stock Holdings in MongoDB, Inc. (NASDAQ:MDB)

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MongoDB Stock Performance

Insiders Place Their Bets

Wall Street Analyst Weigh In

Get Our Latest Analysis on MongoDB

MongoDB Profile

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NoSQL Software Market Emerging Trends From 2023-2030 By Key Players-MongoDB …

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The term NoSQL Software Market refers to the combined production, distribution, and consumption of NoSQL Software (replace “NoSQL Software ” with the relevant good, service, or technology). This Market is defined as the exchange of NoSQL Software -related goods and services between buyers and sellers with the aim of meeting consumer requirements and requests. It covers a range of players operating in a cutthroat market, such as producers, suppliers, distributors, sellers, and buyers. The NoSQL Software Market’s dynamics are influenced throughout time by factors like technological advancement, consumer tastes, political policies, and monetary situations.

Request PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.marketresearchintellect.com/download-sample/?rid=280810

Discover the boundless possibilities with NoSQL Software Market! As a pioneering force in the industry, we redefine excellence through unmatched products and services. Our customer-driven approach and relentless pursuit of innovation have catapulted us to the forefront. Join our network of satisfied clients and experience the transformative power of NoSQL Software Market, where growth knows no bounds. Elevate your business to new heights with us today!

In the coming years, the global NoSQL Software Market is set to experience steady growth, driven by a combination of continuous technological advancements, growing environmental awareness, and the rising need for streamlined operations. To seize the evolving market opportunities, industry players are anticipated to concentrate on product innovation, strategic collaborations, and geographical expansion.

The research study includes profiles of leading companies operating in the NoSQL Software Market :

MongoDB
OrientDB
Amazon
Azure Cosmos DB
Couchbase
ArangoDB
CouchDB
MarkLogic
SQL-RD
RethinkDB
RavenDB
Microsoft
Redis

This NoSQL Software Market report reveals several key market methods that may assist businesses in leveraging their position in the market and diversifying their product range. It is an effective market report instrument for conquering certain business setbacks. This sort of innovative market research provides useful data in a timely manner. It also conducts data-driven research studies to provide insights into elements of market growth. The bulk of the key insights in this study are based on in-depth information gleaned from primary and secondary data collection data.

NoSQL Software Market by Type

Cloud Based
Web Based

NoSQL Software Market by Application

E-Commerce
Social Networking
Data Analytics
Data Storage
Others

The Global NoSQL Software Market can be segmented based on various factors to gain a comprehensive understanding of its dynamics and opportunities. The segmentation allows for a more targeted analysis of specific market segments, helping businesses make informed decisions and tailor their strategies accordingly.

Get a Discount On The Purchase Of This Report @ https://www.marketresearchintellect.com/ask-for-discount/?rid=280810

What is the Purpose Of The Report?

It provides an in-depth analysis of the overall growth prospects of the global and regional Markets. Moreover, it provides an overview of the competitive landscape of the global Market. Furthermore, the report provides a dashboard overview of leading companies, including their successful Marketing strategies, Market contributions, and recent developments in both historic and current contexts.

Our key underpinning is the 4-Quadrant which offers detailed visualization of four elements:

Customer Experience Maps
Insights and Tools based on data-driven research
Actionable Results to meet all the business priorities
Strategic Frameworks to boost the General Purpose Transistors growth journey

Table of Contents:

1. Introduction of the NoSQL Software Market

Overview of the Market
Scope of Report
Assumptions

2. Executive Summary

3. Research Methodology of Market Research Intellect

Data Mining
Validation
Primary Interviews
List of Data Sources

4. NoSQL Software Market Outlook

Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis

5. NoSQL Software Market, By Product

6. NoSQL Software Market, By Application

7. NoSQL Software Market, By Geography

North America
Europe
Asia Pacific
Rest of the World

8. NoSQL Software Market Competitive Landscape

Overview
Company Market Ranking
Key Development Strategies

9. Company Profiles

10. Appendix

GET FULL INFORMATION ABOUT Click Here: NoSQL Software Market Size And Forecast

There are several compelling reasons to consider purchasing this report on the global NoSQL Software market:

Comprehensive Market Insights: The report provides a detailed and comprehensive analysis of the global NoSQL Software market, covering key trends, growth drivers, challenges, and opportunities. It offers valuable insights into market dynamics, enabling informed decision-making and strategic planning.
In-Depth Industry Analysis: The report delves into the competitive landscape, market segmentation, and key players’ profiles. It presents a thorough assessment of the market’s current and future potential, helping businesses identify potential partnerships, acquisitions, or investment opportunities.
Market Size and Forecast: The report includes accurate market sizing and forecasting data, enabling businesses to gauge the market’s growth potential and plan their investments accordingly. This data-driven approach assists in optimizing resource allocation and mitigating risks.
Emerging Trends and Innovations: By highlighting emerging trends and innovations in the NoSQL Software market, the report equips businesses with valuable foresight. Staying ahead of the curve on technological advancements and consumer preferences can offer a competitive edge.
Regional Analysis: The report examines the NoSQL Software market across different regions, providing a comprehensive understanding of regional dynamics and market variations. This information aids businesses in devising region-specific strategies and tapping into high-growth markets.
Regulatory Insights: With an analysis of relevant regulations and policies impacting the NoSQL Software market, the report helps businesses navigate compliance requirements and mitigate regulatory risks.

About Us: Market Research Intellect

We also offer insights into strategic and growth analyses and data necessary to achieve corporate goals and critical revenue decisions.

Contact the US:
Mr. Edwyne Fernandes
Market Research Intellect
US: +1 (650)-781-4080
US Toll-Free: +1 (800)-782-1768

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MongoDB’s Q2 earnings preview, Stifel expects Atlas acceleration in the near term

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Following a strong performance in Q1, where Atlas (NYSE:ATCO) consumption saw a sequential rebound due to robust growth in app usage, Stifel believes that Snowflake’s (NYSE:SNOW) solid consumption activity/commentary positions Atlas for another solid quarter in Q2. The firm expects Atlas to exceed the sell-side’s projected 33% year-over-year growth by a significant margin (4%+).

Assessing EA (Enterprise Advanced), however, is more challenging as it has consistently outperformed management’s predictions in recent quarters, yielding substantial positive outcomes. “While management expects another Q/Q decline, we would not be surprised by another upside quarter,” noted Stifel.

Furthermore, the firm believes that MongoDB can maintain revenue growth of over 25% while continuing to invest in the future. This growth will be driven by a combination of robust growth among current customers (existing and new workloads, emerging product adoption), and new customer acquisition.

The firm reiterated its Buy rating and $420 price target on the stock.

Article originally posted on mongodb google news. Visit mongodb google news

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GPT-3.5 Turbo Can Now Be Fine-Tuned for Improved Quality And Performance

MMS • Sergio De Simone

Article originally posted on InfoQ. Visit InfoQ

OpenAI has made GPT-3.5 Turbo available to developers, with the added bonus of allowing them to customize the model to improve performance for their specific use cases. According to OpenAI, fine-tuning GPT-3.5 Turbo can even outperform base GPT-4 for certain tasks.

OpenAI provides GPT customization to improve the model performance for a number of use cases, including making a model follow instructions in a more coherent way with the developer’s aims, such as always using the same language as the one used for the prompt; providing more consistent responses in cases like code completion or composing API calls; and refining the model output tone, for example to make it fit better the desired brand voice.

Another advantage of fine-tuning GPT-3.5 Turbo, says OpenAI, is reducing prompt size while not hampering performance:

Early testers have reduced prompt size by up to 90% by fine-tuning instructions into the model itself, speeding up each API call and cutting costs.

Fine-tuning is a generic technique that besides bringing better results and saving tokens also allows to train on more examples that can fit in a prompt and reduce request latency. For examples, if you fine-tune a model, you won’t need to provide as many examples in the prompt to get the same level of performance.

Fine tuning a model implies a number of steps, including preparing the dataset to train the model, creating the fine-tuned model, and using it for inference. Preparing the dataset is the key step to the process, which includes a number of sub-steps, such as crafting the prompts, providing a sufficient number of well-crafted demonstrations to check if the model show signs of improvements, training the model based on the new demonstrations, and finally testing it.

As OpenAI explains, fine-tuning should not be the first step to attempt to improve a model performance, since it requires a careful investment of time and effort. Instead, prompt engineering, prompt chaining, and function calling are good techniques to explore first, before even thinking of fine-tuning a model, along with other best practices.

On a related note, OpenAI has also announced they will support fine-tuning for GPT-4 later this year.

About the Author

Sergio De Simone

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NoSQL Database Market Growth, Overview with Detailed Analysis | 2023-2029

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Posted on nosqlgooglealerts. Visit nosqlgooglealerts

NoSQL Database Market Overview:

A distinguished global market research firm has recently released an exhaustive market research report focusing on the NoSQL Database Market. The report provides a wealth of data and visually engaging representations to analyze both regional and global markets. It offers valuable insights into the market’s objectives and includes comprehensive information on top competitors, their market value, current trends, strategies, targets, and product offerings. The report also highlights the market’s recent growth and historical data, providing crucial information for stakeholders.

Predicted Revenue Growth:

NoSQL Database Market is expected to reach USD 36.46 billion by 2029, with a CAGR of 30% between 2023 and 2029.Inquire For More Details @ Request Free Sample Copy

NoSQL Database Market Scope:

The research report delves deep into the analysis of trending competitors, their growth patterns, and the dynamics of the market. It offers insights into the regional and global market value and demand, enabling a better understanding of the competitive landscape and the market’s potential in terms of production, demand, and supply. The segmentation analysis considers crucial factors such as psychographic, demographic, geographic, and behavioral aspects, which inform marketing strategies, targeted products, offers, and customer experiences. The report utilizes Porter’s analysis to determine organizations’ competitive positions and improve profitability. Additionally, Pestle analysis is conducted to assess the validity of existing products and services within the contextual data. SWOT analysis is employed to evaluate the internal and external factors contributing to a company’s strengths, weaknesses, advantages, and disadvantages. This report provides a comprehensive and informative overview of the NoSQL Database Market.

NoSQL Database Market Segmentation:

by Type

Key-Value Store
Document Database
Column Based Store
Graph Database

by Application

Data storage
Mobile apps
Web apps
Data analytics
Others

by Industry Vertical

Retail
Gaming
IT
Others

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NoSQL Database Market Major Players:

1. DynamoDB
2. ObjectLabs Corporation
3. Skyll
4. InfiniteGraph
5. Oracle
6. MapR Technologies, Inc.
7. Apache Software Foundation
8. Couchbase
9. Basho Technologies
10.Aerospike Inc.
11.IBM Corporation
12.MarkLogic Corporation
13.Neo technology Inc.
14.Hypertable Inc.
15.Cisco Systems Inc.
16.Objectivity Inc.
17.Oracle Corporation
18.Microsoft Corporation

Regional Analysis:

The report offers formal, functional, and vernacular regional analyses, focusing on high-demand regions such as Asia Pacific, North America, Latin America, the Middle East, Europe, and Africa. The analysis provides insights into different targets, strategies, and market values specific to each region.

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What defines the NoSQL Database Market?
What is the forecast period for the NoSQL Database Market?
How does the competitive landscape look in the NoSQL Database Market?
Which region holds the largest market share in the NoSQL Database Market?
What opportunities are available in the NoSQL Database Market?
What factors influence the growth of the NoSQL Database Market?
Who are the key players in the NoSQL Database Market?
Which company holds the largest share in the NoSQL Database Market?
What will be the compound annual growth rate (CAGR) of the NoSQL Database Market during the forecast period?
What key trends are expected to emerge in the NoSQL Database Market in the coming years?

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Market Share, Size, and Revenue Forecast| 2023-2029
Market Dynamics: Growth drivers, restraints, investment opportunities, and key trends
Market Segmentation: Detailed analysis by NoSQL Database Market
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Selecting Right Database for right workload – Finextra Research

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Google Launches Three New Cloud Storage Options: Cloud Storage FUSE, Parallelstore, NetApp Volumes

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GPT-3.5 Turbo Can Now Be Fine-Tuned for Improved Quality And Performance

MMS • Sergio De Simone

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Sergio De Simone

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NoSQL Database Market Growth, Overview with Detailed Analysis | 2023-2029

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