Month: July 2023

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New Jersey (United States) – NoSQL Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

Get the PDF Sample Copy (Including FULL TOC, Graphs, and Tables) of this report @ https://www.mraccuracyreports.com/report-sample/211522

Some of the Top companies Influencing this Market include:

IBM Corporation, Aerospike Inc, MarkLogic Corporation, Hibernate, MariaDB, Oracle Database, Neo technology, MongoDB, Basho Technologies, Couchbase, PostgreSQL

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 .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 substitutes, and the degree of competition prevailing in the market.

NoSQL Market Types:

.

NoSQL Market Applications:

Retail, Online Game Development, IT, Social Network Development, Web Applications Management, Others

The report studies the key segments in the global NoSQL industry, their growth in the past few years, profiles and market sizes of individual segments, and gives a detailed overview of the profiles of various segments. The report also presents key products and various other products in the global NoSQL industry along with its market size and growth in the study period. The major demand drivers for the global NoSQL industry products and services are outlined in the report. The NoSQL report details some major success factors and risk factors of investing in certain segments.

The report provides insights on the following pointers:

Market Penetration: Comprehensive data on the product portfolios of the top players in the NoSQL market.

Product Development/Innovation: Detailed information about upcoming technologies, R&D activities, and market product debuts.

Competitive Assessment: An in-depth analysis of the market’s top companies’ market strategies, as well as their geographic and business segments.

Market Development: Information on developing markets in its entirety. This study examines the market in several geographies for various segments.

Market Diversification: Extensive data on new goods, untapped geographies, recent advancements, and investment opportunities in the NoSQL market.

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The cost analysis of the Global NoSQL Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions covered in this report?

1. A complete overview of different geographic distributions and common product categories in the NoSQL Market.
2. When you have information on the cost of production, the cost of products, and the cost of production for future years, you can fix up the developing databases for your industry.
3. Thorough break-in analysis for new enterprises seeking to enter the NoSQL Market.
4. Exactly how do the most essential corporations and mid-level companies create cash within the Market?
5. Conduct a thorough study on the overall state of the NoSQL Market to aid in the selection of product launches and revisions.

Table of Contents

Global NoSQL Market Research Report 2022 – 2029

Chapter 1 NoSQL Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global NoSQL Market Forecast

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Several analysts have recently updated their ratings and price targets for MongoDB (NASDAQ: MDB):

• 6/28/2023 – MongoDB had its price target raised by analysts at Tigress Financial from $365.00 to $490.00.
• 6/26/2023 – MongoDB had its “maintains” rating reaffirmed by analysts at VNET Group, Inc..
• 6/26/2023 – MongoDB had its “maintains” rating reaffirmed by analysts at 22nd Century Group, Inc..
• 6/26/2023 – MongoDB is now covered by analysts at Capital One Financial Co.. They set an “equal weight” rating and a $396.00 price target on the stock.
• 6/26/2023 – MongoDB had its price target raised by analysts at Barclays PLC from $374.00 to $421.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Truist Financial Co. from $365.00 to $420.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Stifel Nicolaus from $375.00 to $420.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at The Goldman Sachs Group, Inc. from $420.00 to $440.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Royal Bank of Canada from $400.00 to $445.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Morgan Stanley from $270.00 to $440.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Robert W. Baird from $390.00 to $430.00.
• 6/23/2023 – MongoDB had its price target raised by analysts at Mizuho from $220.00 to $240.00.
• 6/5/2023 – MongoDB had its price target raised by analysts at Sanford C. Bernstein from $257.00 to $424.00.
• 6/2/2023 – MongoDB had its “outperform” rating reaffirmed by analysts at William Blair.
• 6/2/2023 – MongoDB had its price target raised by analysts at Royal Bank of Canada from $235.00 to $400.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Stifel Nicolaus from $240.00 to $375.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Truist Financial Co. from $235.00 to $365.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Needham & Company LLC from $250.00 to $430.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Mizuho from $180.00 to $220.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Oppenheimer Holdings Inc. from $270.00 to $430.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Citigroup Inc. from $363.00 to $430.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Barclays PLC from $280.00 to $374.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at JMP Securities from $245.00 to $370.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at The Goldman Sachs Group, Inc. from $280.00 to $420.00.
• 6/2/2023 – MongoDB had its price target raised by analysts at Piper Sandler from $270.00 to $400.00.
• 5/31/2023 – MongoDB had its price target raised by analysts at Robert W. Baird from $230.00 to $290.00.
• 5/25/2023 – MongoDB was downgraded by analysts at Guggenheim from a “neutral” rating to a “sell” rating. They now have a $210.00 price target on the stock, up previously from $205.00. They noted that the move was a valuation call. They noted that the move was a valuation call.
• 5/15/2023 – MongoDB had its price target raised by analysts at Barclays PLC from $257.00 to $280.00.

MongoDB Trading Up 0.1 %

Shares of MongoDB stock opened at $411.42 on Tuesday. The firm has a market cap of $28.82 billion, a PE ratio of -88.10 and a beta of 1.13. The company has a quick ratio of 4.19, a current ratio of 4.19 and a debt-to-equity ratio of 1.44. The business’s fifty day moving average is $316.10 and its two-hundred day moving average is $247.56. MongoDB, Inc. has a fifty-two week low of $135.15 and a fifty-two week high of $418.70.

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

Insider Activity at MongoDB

In related news, CRO Cedric Pech sold 15,534 shares of the stock in a transaction on Tuesday, May 9th. The stock was sold at an average price of $250.00, for a total value of $3,883,500.00. Following the completion of the sale, the executive now directly owns 37,516 shares in the company, valued at approximately $9,379,000. The sale was disclosed in a legal filing with the SEC, which can be accessed through the SEC website. In other news, Director Dwight A. Merriman sold 2,000 shares of the stock in a transaction dated Wednesday, April 26th. The shares were sold at an average price of $240.00, for a total transaction of $480,000.00. Following the transaction, the director now owns 1,225,954 shares of the company’s stock, valued at $294,228,960. The sale was disclosed in a filing with the Securities & Exchange Commission, which is accessible through the SEC website. Also, CRO Cedric Pech sold 15,534 shares of the stock in a transaction dated Tuesday, May 9th. The stock was sold at an average price of $250.00, for a total transaction of $3,883,500.00. Following the transaction, the executive now directly owns 37,516 shares in the company, valued at approximately $9,379,000. The disclosure for this sale can be found here. In the last three months, insiders sold 50,050 shares of company stock worth $13,942,694. Corporate insiders own 4.80% of the company’s stock.

Hedge Funds Weigh In On MongoDB

Large investors have recently modified their holdings of the stock. Skandinaviska Enskilda Banken AB publ lifted its holdings in MongoDB by 2.5% in the fourth quarter. Skandinaviska Enskilda Banken AB publ now owns 11,467 shares of the company’s stock worth $2,256,000 after acquiring an additional 277 shares during the last quarter. Clarius Group LLC increased its stake in shares of MongoDB by 7.7% in the first quarter. Clarius Group LLC now owns 1,362 shares of the company’s stock valued at $318,000 after purchasing an additional 97 shares during the period. Lindbrook Capital LLC boosted its position in shares of MongoDB by 350.0% during the fourth quarter. Lindbrook Capital LLC now owns 171 shares of the company’s stock worth $34,000 after buying an additional 133 shares during the period. Principal Financial Group Inc. boosted its position in shares of MongoDB by 12.3% during the fourth quarter. Principal Financial Group Inc. now owns 8,452 shares of the company’s stock worth $1,664,000 after buying an additional 924 shares during the period. Finally, DekaBank Deutsche Girozentrale boosted its position in shares of MongoDB by 30.6% during the fourth quarter. DekaBank Deutsche Girozentrale now owns 11,063 shares of the company’s stock worth $2,179,000 after buying an additional 2,591 shares during the period. Institutional investors own 89.22% of the company’s stock.

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

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The data platform MongoDB has teamed up with digital learning providers such as Coursera to train more software developers.

According to a recent news release, MongoDB recently established distribution partnerships with Coursera and LinkedIn Learning to make its software development courses, offered through its online certification program, MongoDB University, available to more students wordwide. The company is also working with Women Who Code, MyTechDev and Lesbians Who Tech & Allies to help diversify the tech workforce and provide free certification to 700 software developers.

The news release said the platform is also offering professional development resources, including free credits, certifications and curriculum materials for educators, and reskilling courses for database administrators and professionals who use structured query language (SQL), a programming language for relational databases.

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JEP 441, Pattern Matching for switch, has been promoted from Targeted to Completed for JDK 21. This JEP finalizes this feature and incorporates enhancements in response to feedback from the previous four rounds of preview: JEP 433, Pattern Matching for switch (Fourth Preview), delivered in JDK 20; JEP 427, Pattern Matching for switch (Third Preview), delivered in JDK 19; JEP 420, Pattern Matching for switch (Second Preview), delivered in JDK 18; and JEP 406, Pattern Matching for switch (Preview), delivered in JDK 17. This feature enhances the language with pattern matching for switch expressions and statements.

Pattern matching for switch is a significant leap from the traditional switch statements and expressions. The feature allows patterns to appear in case labels, relaxes the historical null-hostility of switch, and enhances safety by requiring pattern switch statements to cover all possible input values.

Pattern matching was first introduced to the instanceof operator in Java 16 (JEP 394), which enabled the operator to take a type pattern and perform pattern matching. This extension simplified the instanceof-and-cast idiom, making it more concise and less error-prone. Consider the following snippets:

// Prior to Java 16
if (obj instanceof String) {
    String s = (String)obj;
    // use s
}

// As of Java 16
if (obj instanceof String s) {
    // use s
}

With JDK 21, this pattern matching has been extended to switch expressions and statements, allowing them to work on any type and permitting case labels with patterns rather than just constants. Consider the following snippets:

// As of Java 21
static String formatterPatternSwitch(Object obj) {
    return switch (obj) {
        case Integer i -> String.format("int %d", i);
        case Long l    -> String.format("long %d", l);
        case Double d  -> String.format("double %f", d);
        case String s  -> String.format("String %s", s);
        default        -> obj.toString();
    };
}

Notably, this release also integrates the null test into the switch by allowing a new null case label. This change reduces the boilerplate code and potential errors in handling null selector expression values. Consider the following snippets:

// As of Java 21
static void testFooBarNew(String s) {
    switch (s) {
        case null         -> System.out.println("Oops");
        case "Foo", "Bar" -> System.out.println("Great");
        default           -> System.out.println("Ok");
    };
}

The new switch pattern matching also introduces when clauses in switch blocks specify guards to pattern case labels, referred to as guarded case labels.

// As of Java 21
static void testStringOld(String response) {
    switch (response) {
        case null -> { }
        case String s when s.equalsIgnoreCase("YES") -> System.out.println("You got it");
        case String s when s.equalsIgnoreCase("NO") -> System.out.println("Shame");
        case String s -> System.out.println("Sorry?");
    }
}

The concept of a when clause suggests that it would be used to provide additional conditions that must be met for the case statement to match beyond just the pattern match. If the condition in the when clause evaluates to true, the case label will apply. However, this is speculation based on the information available, and with specific examples and documentation, the exact usage is still being determined.

JEP 441 also extends the treatment of enums, allowing qualified names of enum constants to appear as case constants. This feature can be used when switching over an enum type. To maintain compatibility with existing Java code, when switching over an enum type, a case constant can still use the simple name of a constant of the enum type being switched over.

enum Day { MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, SUNDAY }

switch (day) {
    case MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY -> System.out.println("Weekday");
    case SATURDAY, SUNDAY -> System.out.println("Weekend");
}

Looking ahead, the OpenJDK team has outlined several potential enhancements that could further expand pattern-matching capabilities in Java. These include the addition of AND and OR patterns, which would provide more expressivity for case labels with patterns. There’s also the possibility of directly supporting guarded patterns as a special pattern form, allowing for more complex conditional logic within the switch statement. Another exciting prospect is the potential for general classes to declare deconstruction patterns, specifying how they can be matched against. These enhancements would continue to push the boundaries of what’s possible with pattern matching in Java, making the language even more powerful and flexible for developers.

Developers who want to learn more can refer to this InfoQ article which shares a comprehensive guide for pattern matching in Java.

Developers who want to experiment with these new features can download the OpenJDK from the JDK 21 Early-Access Builds.

Another alternative is to use SDKMan, a software development kit manager, to download and manage different versions of Java. SDKMan can be used via the command line, making the process easier for developers who prefer this method.

However, these are early-access builds, so they may not be as stable as the final release, scheduled for September 2023, and are intended for testing and feedback purposes.

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For Immediate Release

Chicago, IL – July 3, 2023 – Zacks.com announces the list of stocks featured in the Analyst Blog. Every day the Zacks Equity Research analysts discuss the latest news and events impacting stocks and the financial markets. Stocks recently featured in the blog include: Nvidia NVDA, MicroStrategy Inc. MSTR, Meta Platforms META, DraftKings Inc. DKNG and MongoDB Inc. MDB.

Here are highlights from Friday’s Analyst Blog:

5 Stocks on Unstoppable Rally Amid Nasdaq’s Historic 1H

The Nasdaq Composite Index is set to wrap up the best first half in 40 years, climbing 29%. The Nasdaq-100, which tracks the top 100 stocks traded on the Nasdaq Exchange, is also on track for its best first-half performance on record.

While most of the stocks in the index soared, we have highlighted five that have more than doubled this year and are expected to continue to outperform given their solid Zacks Rank #1 (Strong Buy) or #2 (Buy) and a solid estimated earnings growth rate for the current fiscal year. These include Nvidia, MicroStrategy Inc., Meta Platforms, DraftKings Inc. and MongoDB Inc..

The outstanding performance can be attributed to several factors.

Strong Performance of Tech Stocks: Being tech-heavy, the index mostly benefited from the significant growth of major tech companies as investors rushed to these stocks in search for strong balance sheets, durable revenue streams and stable cash flows amid the banking crisis.

Excitement Around Artificial Intelligence (AI): The rise of AI technologies has created a wave of excitement among investors, which has propelled the Nasdaq index after a tough 2022.

Rate Hike Pause: Hopes that the Fed is nearing the end of its interest rate-hike cycle has provided a boost to the index. Powell, in the latest Fed meeting, kept interest rates steady in the range of 5% to 5.25%, marking a pause after 10 consecutive rate hikes. As the tech sector relies on borrowing for superior growth, it is cheaper to borrow more money for further initiatives when interest rates are low.

Positive Analyst Ratings and Outlooks: The potential for continued growth is supported by positive analyst ratings and price targets for several Nasdaq-listed companies.

Diversified Sectors and Industries: The Nasdaq’s strong performance is not solely dependent on tech stocks. There are signs that the rally has broadened, with previously unloved corners of the market, such as small-caps and cyclical names, starting to climb.

Best Stocks of Nasdaq

Nvidia is the worldwide leader in visual computing technologies and the inventor of the graphic processing unit or GPU. The stock has skyrocketed more than 179% this year so far, and its earnings are expected to grow 129.3% for the fiscal year ending January 2024.

Nvidia has a Zacks Rank #1 (Strong Buy) and a Momentum Score of B. You can see the complete list of today’s Zacks #1 Rank stocks here.

MicroStrategy is a leading worldwide provider of business intelligence software. The stock has soared more than 140% this year so far.

MicroStrategy has an estimated earnings growth rate of 124.9% for this year. It has a Zacks Rank #1 and a Growth Score of A.

Meta Platforms is the world’s largest social media platform. The company’s portfolio offering evolved from a single Facebook app to multiple apps like photo and video sharing apps, Instagram and WhatsApp owing to acquisitions. The stock has surged nearly 134% so far this year.

META has an expected earnings growth rate of 21.4% for this year and has a Zacks Rank #2. It carries a solid Growth Score of B.

DraftKings is a digital sports entertainment and gaming company created to fuel the competitive spirits of sports fans with products that range across daily fantasy, regulated gaming and digital media. The stock has climbed 130.6% this year so far.

DraftKings has an estimated earnings growth rate of 40.8% for this year. The stock carries a Zacks Rank #2 and has a Momentum Score of B.

MongoDB provides a general purpose database platform. Its products include MongoDB Enterprise Advanced, MongoDB Enterprise for OEM, MongoDB Professional, MongoDB Stitch, MongoDB Atlas, Development Support, Ops Manager, Cloud Manager, Compass, Connector for business intelligence and Connector for Spark. The stock has risen about 105% this year so far.

MongoDB is expected to see earnings growth of 86.4% for the fiscal year ending January 2024 and has a Zacks Rank #2. It has a solid Growth Score of A.

Disclaimer: This article has been written with the assistance of Generative AI. However, the author has reviewed, revised, supplemented, and rewritten parts of this content to ensure its originality and the precision of the incorporated information.

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Past performance is no guarantee of future results. Inherent in any investment is the potential for loss. This material is being provided for informational purposes only and nothing herein constitutes investment, legal, accounting or tax advice, or a recommendation to buy, sell or hold a security. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. It should not be assumed that any investments in securities, companies, sectors or markets identified and described were or will be profitable. All information is current as of the date of herein and is subject to change without notice. Any views or opinions expressed may not reflect those of the firm as a whole. Zacks Investment Research does not engage in investment banking, market making or asset management activities of any securities. These returns are from hypothetical portfolios consisting of stocks with Zacks Rank = 1 that were rebalanced monthly with zero transaction costs. These are not the returns of actual portfolios of stocks. The S&P 500 is an unmanaged index. Visit https://www.zacks.com/performance for information about the performance numbers displayed in this press release.

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New Jersey, United States,- The latest report published by MR Accuracy Reports indicates that the NoSQL Databases Software Market is likely to accelerate strongly in the coming years. Analysts have studied market drivers, restraints, risks, and opportunities in the global market. The NoSQL Databases Software Market report shows the likely direction of the market in the coming years along with its estimates. An accurate study aims to understand the market price. By analyzing the competitive landscape, the authors of the report have made excellent efforts to help readers understand the key business tactics that major companies are using to maintain market sustainability.

Key Players Mentioned in the NoSQL Databases Software Market Research Report: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis

Get Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.mraccuracyreports.com/report-sample/204170

The report includes company profiles of almost all major players in the NoSQL Databases Software market. The Company Profiles section provides valuable analysis of strengths and weaknesses, business trends, recent advances, mergers and acquisitions, expansion plans, global presence, market presence, and portfolios of products from major market players. This information can be used by players and other market participants to maximize their profitability and streamline their business strategies. Our competitive analysis also provides vital information that will help new entrants identify barriers to entry and gauge the level of competitiveness in the NoSQL Databases Software market.

NoSQL Databases Software Market

.

Application as below

Large Enterprises, SMEs

The global market for NoSQL Databases Software is segmented on the basis of product, type. All of these segments have been studied individually. The detailed investigation allows assessment of the factors influencing the NoSQL Databases Software Market. Experts have analyzed the nature of development, investments in research and development, changing consumption patterns, and growing number of applications. In addition, analysts have also evaluated the changing economics around the NoSQL Databases Software Market that are likely affect its course.

The regional analysis section of the report allows players to concentrate on high-growth regions and countries that could help them to expand their presence in the NoSQL Databases Software market. Apart from extending their footprint in the NoSQL Databases Software market, the regional analysis helps players to increase their sales while having a better understanding of customer behavior in specific regions and countries. The report provides CAGR, revenue, production, consumption, and other important statistics and figures related to the global as well as regional markets. It shows how different type, application, and regional segments are progressing in the NoSQL Databases Software market in terms of growth.

NoSQL Databases Software Market Report Scope

ESTIMATED YEAR 2022

BASE YEAR 2021

FORECAST YEAR 2029

HISTORICAL YEAR 2020

UNIT Value (USD Million/Billion)

The NoSQL Databases Software 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. 

• North America (USA and Canada)
• Europe (UK, Germany, France and the rest of Europe)
• Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)
• Latin America (Brazil, Mexico, and the rest of Latin America)
• Middle East and Africa (GCC and rest of the Middle East and Africa)

Please click here today to buy full report @ https://www.mraccuracyreports.com/checkout/204170

Key questions answered in the report:

1. Which are the five top players of the NoSQL Databases Software market?
2. How will the NoSQL Databases Software market change in the next five years?
3. Which product and application will take a lion’s share of the NoSQL Databases Software market?
4. What are the drivers and restraints of the NoSQL Databases Software market?
5. Which regional market will show the highest growth?
6. What will be the CAGR and size of the NoSQL Databases Software market throughout the forecast period?

Note – To provide a more accurate market forecast, all our reports will be updated prior to delivery considering the impact of COVID-19.

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The HTAP-Enabling In-Memory Computing Technologies market is globally one of the leading markets involving innovative techniques development and extremely categorized sector. After a thorough investigation conducted over the industries under HTAP-Enabling In-Memory Computing Technologies market, the market report delivers in-depth information, based on the data related to export and import along with the ongoing industry trends in the global market. The report deeply observes the competitive structure of the HTAP-Enabling In-Memory Computing Technologies market worldwide. The HTAP-Enabling In-Memory Computing Technologies market report comprises the detailed summary of the various firms, manufacturers, organizations, and other competitive players that hold major count over the global market in terms of demand, sales, and revenue by providing reliable products and services to the customers worldwide.

Key Players Profiled In the Report Includes

The major players covered in the HTAP-Enabling In-Memory Computing Technologies report are Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain

Request A Sample Report + All Related Graphs & Charts @https://www.mraccuracyreports.com/report-sample/192510

The global HTAP-Enabling In-Memory Computing Technologies market report renders notable information about the HTAP-Enabling In-Memory Computing Technologies market by fragmenting the market into various segments. The global HTAP-Enabling In-Memory Computing Technologies market report delivers a comprehensive overview of the market’s global development including its features and forecast. It requires deep research studies and analytical power to understand the technology, ideas, methodologies, and theories involved in understanding the market.

Furthermore, the report presents complete analytical studies about the limitation and growth factors. The report provides a detailed summary of the HTAP-Enabling In-Memory Computing Technologies market’s current innovations and approaches, overall parameters, and specifications. The report also gives a complete study of the economic fluctuations in terms of supply and demand.

HTAP-Enabling In-Memory Computing Technologies Market

.

Application as below

Large Enterprises(1000+ Users), Medium-Sized Enterprise(499–1000 Users), Small Enterprises(1–499 Users)

Apart from this, the report includes the HTAP-Enabling In-Memory Computing Technologies market study based on geographical and regional location. Geographical Segmentation, On the basis of region, North America (United States, Canada), South America (Argentina, Chile, Brazil, etc.), Asia-Pacific (India, China, Japan, Singapore, Korea, etc.), Europe (UK, France, Germany, Italy, etc.), the Middle East & Africa (GCC Countries, South Africa, etc.) and the Rest of the world.

Key Points of HTAP-Enabling In-Memory Computing Technologies Market:

CAGR of the HTAP-Enabling In-Memory Computing Technologies market during the forecast period 2020-2026.

Accurate information on factors that will help in the growth of the market during the next six years.

Forecasts on future industry trends and changes in customer behavior.

Outlook of the market size and its contribution to the parent market.

The growth and current status of the market in the COVID-19 Pandemic Situation.

Analysis of the competitive landscape of the market and detailed information on the vendors.

A comprehensive description of the factors that will challenge the growth of market vendors.

The HTAP-Enabling In-Memory Computing Technologies global report indicates the status of the industry and regional and global basis with the help of graphs, diagrams, and figures to make it easy and better understandable.

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The HTAP-Enabling In-Memory Computing Technologies Report Supports the Facts Below:

Industry Historical Demand Trends and Future Development Study – HTAP-Enabling In-Memory Computing Technologies Market Investors will make their business decisions based on historical and projected performance of the market HTAP-Enabling In-Memory Computing Technologies in terms of growth trends, revenue contribution, and HTAP-Enabling In-Memory Computing Technologies market growth rate. The report offers HTAP-Enabling In-Memory Computing Technologies industry analysis from 2016 to 2019, according to categories such as product type, applications/end-users and regions.

Market Drivers, Limits and Opportunities – The market is deeply evaluated by a current market situation such as market growth factors and constraints. In addition, here we can discuss the latest industry news and its impact on the HTAP-Enabling In-Memory Computing Technologies business.

Industry Chain Analysis – The study of industry chain structure incorporates details related to supplier’s and buyer’s information. Furthermore, the report classifies the top manufacturers of HTAP-Enabling In-Memory Computing Technologies business based on their production base, cost structure, HTAP-Enabling In-Memory Computing Technologies production process, spending on raw materials and labor outlay.

Future Project Expediency – The HTAP-Enabling In-Memory Computing Technologies market report includes a detailed explanation about the past and present trends of the market has been following along with its future analysis that may concern with the HTAP-Enabling In-Memory Computing Technologies market growth.

Note – To provide a more accurate market forecast, all our reports will be updated prior to delivery considering the impact of COVID-19.

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

Posted on mongodb google news. Visit mongodb google news

MongoDB’s MDB short percent of float has risen 5.06% since its last report. The company recently reported that it has 3.76 million shares sold short, which is 6.23% of all regular shares that are available for trading. Based on its trading volume, it would take traders 1.37 days to cover their short positions on average.

Why Short Interest Matters

Short interest is the number of shares that have been sold short but have not yet been covered or closed out. Short selling is when a trader sells shares of a company they do not own, with the hope that the price will fall. Traders make money from short selling if the price of the stock falls and they lose if it rises.

Short interest is important to track because it can act as an indicator of market sentiment towards a particular stock. An increase in short interest can signal that investors have become more bearish, while a decrease in short interest can signal they have become more bullish.

See Also: List of the most shorted stocks

MongoDB Short Interest Graph (3 Months)

As you can see from the chart above the percentage of shares that are sold short for MongoDB has grown since its last report. This does not mean that the stock is going to fall in the near-term but traders should be aware that more shares are being shorted.

Comparing MongoDB’s Short Interest Against Its Peers

Peer comparison is a popular technique amongst analysts and investors for gauging how well a company is performing. A company’s peer is another company that has similar characteristics to it, such as industry, size, age, and financial structure. You can find a company’s peer group by reading its 10-K, proxy filing, or by doing your own similarity analysis.

According to Benzinga Pro, MongoDB’s peer group average for short interest as a percentage of float is 6.41%, which means the company has less short interest than most of its peers.

Did you know that increasing short interest can actually be bullish for a stock? This post by Benzinga Money explains how you can profit from it.

This article was generated by Benzinga’s automated content engine and was reviewed by an editor.

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

Posted on mongodb google news. Visit mongodb google news

As of July 3, 2023, short interest refers to the number of shares that have been sold short but have not been covered or closed out yet. Short selling occurs when traders sell shares of a company that they do not own, hoping that the price will decrease. Traders profit from short selling if the stock price falls, but they incur losses if it rises. Monitoring short interest is crucial as it can serve as an indicator of market sentiment towards a specific stock.

MongoDB (NYSE:MDB) has experienced a 5.06% increase in its short percent of float since its last report. The company recently disclosed that 3.76 million shares have been sold short, accounting for 6.23% of all available regular shares for trading. Based on the trading volume, it would take traders an average of 1.37 days to cover their short positions.

In comparison to its peer group, MongoDB has a lower short interest as a percentage of float, which stands at 6.41%. This indicates that the company has less short interest than its competitors.

According to Macroaxis, MongoDB’s short ratio is relatively low at 1.37. This suggests that it would take traders slightly over a day to cover their short positions.

Additionally, MarketBeat reports a short interest ratio of 1.37 for MongoDB, which is considered low and indicates strong positive sentiment surrounding the stock.

MDB Stock Shows Positive Performance Despite Slight Decrease in Value – July 3, 2023

On July 3, 2023, MongoDB Inc. (MDB) stock showed positive performance, despite a slight decrease in value. The stock opened at $406.95, slightly lower than the previous day’s closing price of $411.09. Throughout the day, the stock traded within a range of $406.53 to $409.89. The trading volume was relatively low at 7,899 shares, compared to the average volume of 1,916,789 shares over the past three months.

MDB has a market capitalization of $29.0 billion, indicating its position as a significant player in the technology services sector. The company’s financial performance has been impressive, with strong earnings growth. In the past year, MDB recorded a growth rate of 92.12%, showcasing its ability to generate higher profits. Looking ahead, analysts predict a steady growth rate of 8.00% for the next five years.

Furthermore, MDB has experienced substantial revenue growth, with a 46.95% increase in the past year. This indicates the company’s ability to attract more customers and generate higher sales. However, it is important to note that MDB reported a negative earnings growth rate of -5.89% in the previous year. Despite this, the company has managed to turn its fortunes around and achieve significant growth in the current year.

When comparing MDB’s valuation metrics, the price/sales ratio stands at 11.45, indicating that investors are willing to pay a premium for each dollar of the company’s sales. Additionally, the price/book ratio is relatively high at 38.86, suggesting that the stock may be overvalued based on its book value.

In terms of stock performance on July 3, 2023, MDB experienced a slight decrease of -1.42%, closing at $406.95. This decline was in line with the overall performance of the technology services sector, as other companies such as ANSS, HUBS, and VEEV also experienced negative changes in their stock prices.

Looking ahead, investors can expect MDB’s next financial report on August 31, 2023. Analysts forecast an earnings per share (EPS) of $0.46 for the current quarter. The company’s annual revenue for the previous year was $1.3 billion, while it reported a net loss of -$345.4 million. The net profit margin stands at -26.90%, indicating that MDB has struggled to maintain profitability.

As a packaged software company, MDB operates in a highly competitive industry. It is headquartered in New York, New York, and has no executives listed.

In conclusion, MDB stock showed positive performance on July 3, 2023, despite a slight decrease in value. The company has demonstrated strong earnings and revenue growth, positioning itself as a key player in the technology services sector. However, investors should be cautious of the stock’s high valuation metrics and the company’s negative net profit margin.

MongoDB Inc (MDB) Stock Analysis: Projected Increase in Price and Positive Future Outlook

On July 3, 2023, MongoDB Inc (MDB) stock had a median target price of $420.50, according to 22 analysts offering 12-month price forecasts. The high estimate for the stock price was $445.00, while the low estimate was $210.00. This median estimate represented a 2.79% increase from the last recorded price of $409.07.

The consensus among 27 polled investment analysts was to buy stock in MongoDB Inc. This rating had remained unchanged since June, indicating a steady positive sentiment towards the company’s stock.

In terms of financial performance, MongoDB Inc reported earnings per share of $0.46 for the current quarter. The company’s sales for the same period amounted to $393.7 million. These figures suggest a solid financial standing for MongoDB Inc.

Investors and analysts will be eagerly awaiting the reporting date of August 31, when MongoDB Inc will release its financial results for the current quarter. This will provide further insights into the company’s performance and potentially impact its stock price.

Overall, MongoDB Inc seems to be in a favorable position, with analysts projecting a positive future for the company’s stock. The consistent buy rating from investment analysts and the expected increase in stock price indicate confidence in MongoDB Inc’s growth potential. However, investors should closely monitor the upcoming financial results to assess the company’s actual performance and make informed investment decisions.

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

Article originally posted on InfoQ. Visit InfoQ

At its recent WWDC 2023 developer conference, Apple presented a number of extensions and updates to its machine learning and vision ecosystem, including updates to its Core ML framework, new features for the Create ML modeling tool, and new vision APIs for image segmentation, animal body pose detection, and 3D human body pose.

A first improvement to Core ML, iOS on-device machine learning framework, comes in the form of a faster inference engine, explains Apple engineer Ben Levine. The speedup does not require models to be re-compiled or any associated code changes. Levine did not provide any figures about the speed improvements and said they will be model and hardware dependent.

Core ML also extends its capabilities to support async workflow with the new Async Prediction API. Previously, Core ML supported batch predictions, which are suitable for cases where there is a known amount of work to do and the inputs for all the component batches can be calculated beforehand. Thanks to the new Async Prediction API, you can now dispatch a prediction to a background thread, which means you can run multiple predictions concurrently. In addition, the API supports the possibility of canceling prediction requests, which can further improve responsiveness in certain cases.

For example, Levine demoed an app that colorizes a list of images using Core ML and showed how the new Async Prediction API improved scroll experience by reducing inference time to about the half. Inference concurrency comes with its own caveats, though. Specifically, Levine mentioned the increased memory requirements due to loading multiple inputs and outputs in memory, which must be addressed, e.g., by limiting the number of concurrent operations that the app carries through.

In addition to Core ML inference capabilities, Apple improved model conversion options as well with a new version of its Core ML Tools which help developers optimize the size and performance of their machine learning models. This can be critical as apps starts integrating ever more and bigger ML models, says Apple. The tool now supports several techniques including weight pruning, quantization, and palletization, which can be applied when training a new model or when converting it from Python.

On the front of modeling, Apple extended Create ML by including support for multilingual BERT embeddings and multi-label image classification.

This year, we designed a new embedding model and trained it on billions of labeled text examples. It’s a bidirectional encoder representations from transformers model, or BERT for short.

The new BERT model can boost the accuracy of monolingual text classifiers, too, according to Apple.

Finally, the new Augmentation API is designed to help improve model quality when training data is limited. Data augmentation is a technique used to generate new training examples from existing ones using transformations. The Augmentation API will make it possible for developers to build their own augmentation pipelines by combining different transformation steps. Apples says the Augmentation API uses result builders and will results familiar to developers who have used SwiftUI.

As a final note, Apple added new capabilities to its VisionKit framework, including the ability to detect animal poses and track their joints in real-time individually; to lift subjects from images and separate them from their background; and to distinguish multiple individuals in the same image using the new Segmentation API.

If you are interested in delving into all new ML and vision features in the upcoming iOS 17 release, check out the comprehensive WWDC 2023 session recording list.