Month: July 2023

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Strategic partnership accelerates workload migrations to MongoDB Atlas on Microsoft Azure

NEW YORK, July 18, 2023 /PRNewswire/ — MongoDB, Inc. (NASDAQ: MDB) today announced a significant expansion of a multiyear strategic partnership agreement with Microsoft. MongoDB and Microsoft are committing to a broad range of initiatives to make it easier for customers to advance their cloud adoption journeys, including easier access to MongoDB Atlas within the Microsoft commercial marketplace. Millions of developers who access the Azure portal will be able to discover and use MongoDB Atlas.

As part of the agreement, MongoDB will work with Microsoft to enhance how customers experience MongoDB Atlas running on Azure by delivering go-to-market initiatives and creating developer enablement and training programs. Additionally, MongoDB will deepen their technology integrations with Microsoft to better serve their mutual customers.

The strategic partnership agreement follows recent collaborations between the two companies announced at Microsoft Ignite, which included a pay-as-you-go MongoDB Atlas offering. MongoDB Atlas currently integrates with first-party Microsoft services such as Azure Synapse Analytics, Azure Event Hub, Microsoft Power BI, Microsoft Purview, Azure Logic Apps, and Microsoft Power Automate.

With today’s announcement, other integrations under development will include Microsoft data, AI and analytics, and low-code services. MongoDB has also partnered with Microsoft for Startups to provide free MongoDB Atlas credits, and other benefits as a featured offer in Founders Hub. Together, MongoDB and Microsoft offer startups the speed, unlimited scale, and security they need to move from ideation to growth.

Used by 95 of the Fortune 100, Mural—a leading collaborative intelligence company that helps its customers to power ideation, team building, education, and alignment—migrated its platform to MongoDB Atlas on Azure in 2019. Since that time, MongoDB Atlas has enabled Mural to keep up with the massive growth the company has experienced, particularly in the last two years, without adding headcount.

“Looking at the software landscape today, everyone wants to stitch together all of their different software solutions with whatever platforms they’re on. When a really rich partner ecosystem exists, and brings value by integrating foundational services, it enables organizations like ours to deliver powerful new services to our customers,” said Rebecca Campbell, Vice President of Engineering at Mural. “Working with MongoDB on Azure has enabled us to build and ship faster, and ultimately to provide more value to our customers.”

“As more products and services come together on the Microsoft commercial marketplace, customers get a better experience by being able to streamline their billing and procurement process,” said Alan Chhabra, Executive Vice President, Worldwide Partners and Asia at MongoDB. “Many of our customers want to run MongoDB Atlas on Azure, but have lacked the proper incentives and a smooth deployment experience. Through this expanded collaboration with Microsoft, we’re making it easier for our customers to seamlessly integrate MongoDB Atlas into their Azure infrastructure to power the next generation of applications.”

“Developers are the key to creating the innovations that drive enhanced customer experiences,” said Arun Ulagaratchagan, CVP, Azure Data at Microsoft. “MongoDB is loved by developers all over the world, and in order to better serve our customers, we’re expanding our business and technical partnership in order to provide a best-in-class MongoDB experience with MongoDB Atlas on Azure.”

MongoDB Atlas is the best way to deploy and scale MongoDB on the Azure Cloud. To get started, visit azure.com/mongodb.

MongoDB Developer Data Platform
MongoDB Atlas is the leading multi-cloud developer data platform that accelerates and simplifies building with data. MongoDB Atlas provides an integrated set of data and application services in a unified environment to enable developer teams to quickly build with the capabilities, performance, and scale modern applications require.

About MongoDB
Headquartered in New York, MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today’s wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.

Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding a strategic partnership agreement with Microsoft. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact the COVID-19 pandemic may have on our business and on our customers and our potential customers; the effects of the ongoing military conflict between Russia and Ukraine on our business and future operating results; economic downturns and/or the effects of rising interest rates, inflation and volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the caption “Risk Factors” in our Quarterly Report on Form 10-Q for the quarter ended April 30, 2023, filed with the SEC on June 2, 2023 and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

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MongoDB
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At QCon New York 2023 Emily Webber presented Bridging Silos and Overcoming Collaboration Antipatterns in Multidisciplinary Organisations, where she showed a worrying trend in the industry of specialisation and silos at the expense of collaboration, shared responsibility, and valuable outcomes. She shared some approaches and techniques to break silos down to work together better.

Webber started her talk by asking the audience to imagine what the best team can look like, having all the roles, and expertise, collaborating toward the outcome, with shared responsibility and great working relationships, and the ability to learn and try out new things. The question is, is that true for you, or for anyone? she asked.

Nowadays the ideal is to have specialists working together to create valuable outcomes. Why can’t we all just get along, Webber questioned. She mentioned three collaboration anti-patterns that she has observed in her work:

• One role across many teams
• Product vs engineering wars
• X-led

An example of one role across many teams would be a designer who works in two teams. The designer can’t be in the stand-ups or retrospectives of both teams. Then there’s another team that needs a designer, and the work is split into three teams.

The designer doesn’t have enough time for any of the teams, and no headspace to dedicate any thinking time to the teams. Working on multiple teams, hours are wasted on context switching, Webber mentioned.

With product vs engineering, we have an organisation that has split itself into two main areas, product and technology. Communication is primarily done through the hierarchy. This can lead to “product” making the decisions and “engineering” building the thing – the opposite of what we want, Webber said.

The third antipattern is X-led, where x can be user, design, product, etc. Being too focused on one aspect like engineering-led can lead to building stuff and getting it out there, where it doesn’t matter if it’s the right or wrong thing, Webber mentioned.

Another example Webber mentioned is a product-led organisation. This can create a hierarchy where product managers are making all decisions in a silo and put distance between teams, she said.

Webber mentioned some of the problems that the above anti-patterns can lead to:

• One group holds the power
• Reinforcing professional protectionism
• In-team silos

When there are silos or hierarchies in the team, work is handed off between roles, collaboration is minimal, and it erodes empathy between members, Webber said.

Webber mentioned that different domains, with experiences and views of the world, can bring diversity to solutions, making them more rounded. She quoted Tom Wujec:

When people work together under the right circumstances, group models are much better than individual models.

We have opportunities to counteract the silos and collaborate across boundaries. Webber suggested creating enabling organisational structures, resulting in “one team” at all levels, taking collaborative decisions. Between the different levels, approaches should be aligned, and insights and strategies should be communicated, she suggested.

A multidisciplinary team has all the roles needed to design, plan, deliver, deploy, and iterate a product or service, Webber mentioned. People collaborate together daily towards a shared outcome, where they may include people from outside the technology space to bring in their knowledge.

People are not interchangeable, Webber argued. She suggested embracing that we all have a unique set of knowledge, skills, and experience. Instead of using I-shaped or PI-shaped, people tend to be more broken comb-shaped having broad generic skills and multiple specialisms with different levels of depth.

Webber emphasised that most people do not have a linear career path. She suggested embracing squiggling careers and broken-comb skills and capabilities. Look outside your current role, discipline, and domain to find what inspires you and bring that to your work and your team, Webber concluded.

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As of July 18, 2023, MongoDB and Microsoft have further strengthened their partnership, bringing more opportunities for developers accessing the Azure Portal. One of the key developments is the integration of MongoDB Atlas, a fully managed MongoDB service, into the Azure ecosystem. This collaboration aims to simplify workload migrations to MongoDB Atlas on Microsoft Azure, ultimately accelerating the development of modern applications.

By leveraging MongoDB Atlas on Azure, developers can unlock the full potential of first-party Microsoft services like Azure Synapse Analytics, Azure Event Hub, and Microsoft Power BI. The seamless integration between MongoDB Atlas and these services empowers developers to harness the power of data analytics and visualization, enhancing their application capabilities. Additionally, MongoDB Atlas supports the deployment of clusters and serverless instances on Microsoft Azure, offering a range of features and integrations with other Azure services.

To begin their journey with MongoDB Atlas on Azure, developers can visit the Azure Marketplace, where they can access MongoDB Atlas and start building their applications for free. Furthermore, MongoDB Atlas is also accessible through the Azure Portal, providing developers with convenient access to Microsoft services alongside their database operations. This expanded availability of MongoDB Atlas on the Microsoft Azure Marketplace gives developers greater flexibility and a wider range of options to meet their specific database requirements.

In summary, the enhanced collaboration between MongoDB and Microsoft presents developers with a seamless solution for running analytics and data warehousing operations, managing data governance policies, and building innovative applications on Azure using MongoDB Atlas. With this partnership, developers can unleash their creativity and drive their projects forward with the combined power of MongoDB and Microsoft technologies.

Tyler Technologies Inc. (TYL) Stock Performance: Mixed Results on July 18, 2023, but Positive Earnings and Revenue Growth Indicate Strong Financial Performance

On July 18, 2023, Tyler Technologies Inc. (TYL) had a mixed performance in the stock market. The stock opened at $413.38 and closed at $413.95, representing a decrease of $7.80 or 1.85% from the previous close. The volume of TYL stock traded on this day was relatively low, with only 20 shares changing hands. The market capitalization of Tyler Technologies Inc. stands at $17.2 billion. In terms of earnings growth, TYL has shown positive growth in the past year, with an earnings growth rate of +0.02% last year and a projected growth rate of +1.35% this year. Analysts expect TYL to achieve a robust earnings growth rate of +10.00% over the next five years. Tyler Technologies Inc. has also demonstrated strong revenue growth, with a growth rate of +16.20% in the previous year. The price-to-earnings (P/E) ratio for TYL stock is 115.2. In terms of valuation ratios, TYL has a price-to-sales ratio of 7.39 and a price-to-book ratio of 6.54. On July 18, 2023, TYL stock experienced a slight decline in value. Tyler Technologies Inc. operates in the technology services sector, specifically in the data processing services industry. Investors interested in TYL should keep an eye on the company’s upcoming earnings report, scheduled for July 27, 2023. The earnings per share (EPS) forecast for this quarter is $1.89. TYL reported annual revenue of $1.9 billion and a net profit margin of 8.88% in the previous year. In conclusion, TYL stock had a mixed performance on July 18, 2023, with a slight decline in value. However, the company has shown positive earnings and revenue growth in recent years, indicating its strong financial performance. Investors should closely monitor the upcoming earnings report and consider the company’s industry and sector trends when evaluating TYL as a potential investment.

TYL Stock Shows Positive Performance and Strong Growth Potential: Analysis and Tips for Investors

TYL stock had a positive performance on July 18, 2023, with a median target price of $446.00, representing a +5.79% increase from the last price of $421.60. The consensus among 18 polled investment analysts is to buy stock in Tyler Technologies Inc, indicating confidence in the company’s potential growth. Tyler Technologies Inc reported earnings per share of $1.89 and sales of $491.3 million for the current quarter, suggesting a solid financial standing. Investors and analysts are optimistic about the company’s future prospects based on the positive price forecasts and strong financial performance. However, it is important to note that the stock market is subject to fluctuations and uncertainties, and past performance is not always indicative of future results. Investors should conduct thorough research and consider various factors before making investment decisions. Tyler Technologies Inc is scheduled to report its earnings for the current quarter on July 27, which may impact the stock’s future performance. It is advised for investors to stay updated with the latest news and financial reports to make informed investment decisions.

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Mackenzie Financial Corp increased its holdings in MongoDB, Inc. (NASDAQ:MDB – Free Report) by 96.3% during the 1st quarter, according to its most recent 13F filing with the Securities & Exchange Commission. The institutional investor owned 5,773 shares of the company’s stock after buying an additional 2,832 shares during the period. Mackenzie Financial Corp’s holdings in MongoDB were worth $1,346,000 as of its most recent SEC filing.

Several other institutional investors and hedge funds have also made changes to their positions in the business. DekaBank Deutsche Girozentrale lifted its holdings in MongoDB by 23.4% in the 1st quarter. DekaBank Deutsche Girozentrale now owns 13,654 shares of the company’s stock valued at $2,964,000 after purchasing an additional 2,591 shares in the last quarter. Whittier Trust Co. of Nevada Inc. lifted its holdings in MongoDB by 60.4% in the 1st quarter. Whittier Trust Co. of Nevada Inc. now owns 15,075 shares of the company’s stock valued at $3,514,000 after purchasing an additional 5,679 shares in the last quarter. Whittier Trust Co. lifted its holdings in MongoDB by 21.0% in the 1st quarter. Whittier Trust Co. now owns 29,391 shares of the company’s stock valued at $6,851,000 after purchasing an additional 5,094 shares in the last quarter. Stonegate Investment Group LLC lifted its holdings in MongoDB by 9.6% in the 1st quarter. Stonegate Investment Group LLC now owns 6,028 shares of the company’s stock valued at $1,405,000 after purchasing an additional 526 shares in the last quarter. Finally, DnB Asset Management AS lifted its holdings in MongoDB by 0.8% in the 1st quarter. DnB Asset Management AS now owns 10,158 shares of the company’s stock valued at $2,368,000 after purchasing an additional 85 shares in the last quarter. 89.22% of the stock is currently owned by hedge funds and other institutional investors.

Analyst Upgrades and Downgrades

A number of analysts recently issued reports on the stock. 22nd Century Group reissued a “maintains” rating on shares of MongoDB in a research report on Monday, June 26th. Capital One Financial started coverage on shares of MongoDB in a research report on Monday, June 26th. They issued an “equal weight” rating and a $396.00 price objective for the company. Mizuho increased their price objective on shares of MongoDB from $220.00 to $240.00 in a research report on Friday, June 23rd. VNET Group reaffirmed a “maintains” rating on shares of MongoDB in a research report on Monday, June 26th. Finally, Sanford C. Bernstein increased their price objective on shares of MongoDB from $257.00 to $424.00 in a research report on Monday, June 5th. One investment analyst has rated the stock with a sell rating, three have assigned a hold rating and twenty have issued a buy rating to the company’s stock. According to data from MarketBeat.com, MongoDB presently has an average rating of “Moderate Buy” and an average price target of $366.59.

Insider Activity

In other news, Director Dwight A. Merriman sold 2,000 shares of the firm’s stock in a transaction on Wednesday, April 26th. The stock was sold at an average price of $240.00, for a total transaction of $480,000.00. Following the transaction, the director now directly 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 available through the SEC website. In related news, Director Dwight A. Merriman sold 606 shares of MongoDB stock in a transaction dated Monday, July 10th. The stock was sold at an average price of $382.41, for a total transaction of $231,740.46. Following the transaction, the director now directly owns 1,214,159 shares of the company’s stock, valued at $464,306,543.19. The transaction was disclosed in a filing with the SEC, which is available through this hyperlink. Also, Director Dwight A. Merriman sold 2,000 shares of MongoDB stock in a transaction dated Wednesday, April 26th. The stock was sold at an average price of $240.00, for a total value of $480,000.00. Following the transaction, the director now directly owns 1,225,954 shares in the company, valued at $294,228,960. The disclosure for this sale can be found here. Over the last ninety days, insiders have sold 117,427 shares of company stock valued at $41,364,961. Company insiders own 4.80% of the company’s stock.

MongoDB Price Performance

Shares of NASDAQ MDB opened at $409.17 on Tuesday. MongoDB, Inc. has a 1-year low of $135.15 and a 1-year high of $418.70. The company has a debt-to-equity ratio of 1.44, a current ratio of 4.19 and a quick ratio of 4.19. The business’s fifty day moving average price is $349.74 and its two-hundred day moving average price is $261.91. The firm has a market capitalization of $28.88 billion, a PE ratio of -87.62 and a beta of 1.13.

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

About MongoDB

(Free Report)

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.

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Database company MongoDB Inc. today announced a new, government-focused edition of its cloud database MongoDB Atlas, one of the first offerings to emerge from its recently announced MongoDB Atlas for Industries initiative.

MongoDB Atlas for Government is a secure and compliant version of the company’s flagship cloud database that comes with FedRAMP Moderate authorization, meaning it can be used compliantly by hundreds of government agencies.

Alongside the new database, MongoDB is also providing public sector organizations with access to architectural design reviews, tailored technology partnerships and specific knowledge accelerators to help train public sector teams. The new offerings are all being bundled under the new MongoDB Atlas for Public Sector banner.

As MongoDB explained at its MongoDB.local for Government Solutions event today in Washington, D.C., public sector organizations have to be extremely careful about the technologies they use. Not only do they have unique operational challenges, but they also have to balance strict compliance requirements when trying to innovate to solve those challenges.

According to MongoDB, many public sector organizations still rely on legacy data warehouses that cannot provide the real-time data processing capabilities required by modern applications. As a result, they struggle to keep up with the latest developments in digital transformation.

“Public sector organizations want to move more workloads to the cloud for all its advantages, the company said, but they often don’t know how to get started or don’t have the right migration and modernization strategies in place. MongoDB Atlas for Public Sector is aimed at solving many of these headaches.

Atlas for Government is billed as a highly secure, fully managed and FedRAMP Moderate authorized developer data platform that’s hosted on Amazon Web Services Inc.’s AWS GovCloud regions. As such, public sector organizations now have access to a modern database that offers a more flexible and scalable document data model, with the ability to process any kind of data in real time, the company said.

At the same time, they benefit from “world class security, resilience and availability,” enabling them to build and deploy modern software applications. Atlas for Government includes built-in security capabilities, field-level data encryption, network management and isolation, and identity access and management controls to help organizations secure sensitive workloads with no manual effort.

MongoDB Atlas for Public Sector also provides government agencies with access to the MongoDB Relational Migrator tool. Launched earlier this year, it makes it simpler to migrate legacy databases and workloads to its platforms without any downtime.

In addition, public sector organizations can take advantage of MongoDB’s executive engagement, which offers access to its own database experts and also those from its partner ecosystem, in order to establish best practices for modern workloads. MongoDB said it will offer numerous innovation workshops for public sector organizations that teach them how to modernize their applications while ensuring they remain secure and compliant. In addition, it has created multiple tailored MongoDB University courses and learning materials for public sector developers.

Finally, public sector organizations will gain full access to MongoDB’s Professional Services team, which will be on hand to help them accelerate projects from the initial concept to the first prototype and finally to production.

“The new MongoDB Atlas for Public Sector initiative provides a set of capabilities so organizations can stop thinking about modernizing their operations and actually get started,” said Joe Perrino, MongoDB’s area vice president of public sector. “MongoDB Atlas for Government – with its built-in security features and FedRAMP designation – is specifically designed to meet the challenges public sector organizations face today.”

The MongoDB for Public Sector program is part of a wider industry initiative that was announced by MongoDB in June. MongoDB Atlas for Industries is all about providing customers with domain-specific knowledge and expertise to help them get up and running with a modern database and applications in the fastest possible time.

As part of that initiative, the company has also launched its first-ever vertical database offering for financial services customers, and is planning additional offerings for the manufacturing, healthcare, insurance, automotive and retail industries later in the year.

Constellation Research Inc. analyst Doug Henschen told SiliconANGLE that MongoDB Atlas for Public Sector is a vertical offering that’s a part of the company’s effort to catch up with rivals such as Snowflake Inc. and Databricks Inc., which have long since offered vertical solutions targeting industry-specific use cases.

“MongoDB only recently announced MongoDB Atlas for Financial Services and intends to add other industry offerings later in the year,” Henschen said. “The government offering is one that makes sense as an early addition, as it promotes the recent FedRamp certification achieved by MongoDB Atlas, and its partnerships with systems integrators that work with government organizations.”

Jeff Needham, MongoDB’s principal of industry solutions, dropped by theCUBE, SiliconANGLE Media’s livestreaming studio, during its coverage of the recent MongoDB .local NYC event, to discuss the impact of MongoDB Atlas for Industries on the insurance sector:

Image: MongoDB

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After the first publication of the regulative structure proposal on the operation and governance of machine learning applications in 2021, on June 14th negotiations have started for the realization of the legislation in the EU Council. According to the press release, the EU countries are expected to reach an agreement by the end of 2023.

In the framework, the EU Act takes a risk-based approach and plans to avoid disproportionate prescriptions when executing the regulations. Considering the ambiguity of the word artificial intelligence, the AI Act’s principles are concerned with the general risk factor of any algorithmic and model-based system including discriminative, generative machine learning models (e.g. large language, speech, and vision deep networks), and possible intelligent systems of the future (i.e. AI, not to be confused with current misuse of the word for marketing purposes).

The Act has gained significant attention this year as the plausibility level of the generative models’ output has increased owing to the employment of internet-scale scraped data and high-end accelerators in large quantities. The legislative work is part of an ongoing global effort that aims to set the grounding principles for the future developments and applications of model-based systems e.g. Algorithmic Accountability Act, NTIA’s policy RFC in the USA, Artificial Intelligence and Data Act in Canada, and similar AI strategy laws in Japan.

Foundations of the EU AI Act’s principles are set on top of four types of risk factors. Rather than imposing general restrictions, this leveled approach aims to match the transparency, rules, obligations, and monitoring for providers and users depending on possible adversarial effects that the system can cause:

• Minimal-risk systems: Free usage is allowed e.g. model-assisted video game character motion control or 3d rendering.
• Limited-risk systems: Providers are obliged to inform a ML system is being interacted with, users then can act accordingly or leave the platform if they wish e.g. image, video, sound editing programs.
• High-risk systems: These are the systems that may cause damage to public rights, health, safety, or may trigger negative environmental effects. They are subject to the highest level of obligations and monitoring.
• Unacceptable-risk systems: These systems will be prohibited.

Platforms with unacceptable and high-level risks are two critical points within the EU AI Act framework. For a ML-assisted system to be characterised with the unacceptable-risk status, it has to exploit physical biometric data, emotion, gender, race, ethnicity, citizenship status, religion, political orientation during inference that may cause discriminative operations or it has to manipulate cognitive and behavioural actions e.g. toys motivating harming acts via generated speech. However, post-incident (i.e. not real-time) processing of biometric data for serious crime identification (after the court approval) is exempted at this level.

High-risk status is given special emphasis due to common deployment of large uninterpretable deep networks. Since they cover larger commercial segments, the official documents can be consulted for examples that falls under this category (e.g. products listed under EU’s product safety legislation). For that reason, stricter assessment, regulation, and monitoring procedures are proposed:

• The models have to be registered in the EU Database.
• Platforms have to disclose for each content that it was generated by a model.
• Platforms have to ensure generation of illegal content is prevented.
• Platforms have to provide related summaries of the copyrighted data used during the training stage.

Considering the tendency of large deep network API providers to conceal the training data details, The EU’s requirements will enable more transparency hence will allow necessary actions to be taken by the copyright owners.

It should be noted that the EU AI Act should not be confused with the EU Data Act. The Data Act aims for broader goals for the EU’s data economy and is concerned with the EU’s data sovereignty. (e.g. IoT data vendor-lock prevention etc.).

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Editor’s Note: Matthew Timpane, senior market strategist at Schaeffer’s Investment Research, had the best-performing recommendation from our annual “Top Picks 2023” Report through mid-year. The software company MongoDB (MDB) produced a total return of 130.8% during the tracked period. I reached out to him recently for updated commentary and guidance on the stock, and this is what he provided…

While there still looks to be potential for bulls to make some profit, I suggest taking at least some of the risk off the table. Leaving a partial position on will give investors potential for more profits, but the market may see a rotation away from tech for the next few months—though once through October expiration, the sector historically comes back to rally.

Of the current market climate for MongoDB, there have only been a few upgrades this year, despite its impressive run. Short interest is down from January, but is basing, and a short-covering rally began in the first half of 2023.

Total estimated revenue growth expanded to 47.1% for 2023, after the company enjoyed a Q1 beat. We can also expect a boost in revenue from generative Artificial Intelligence (AI) due to accelerating application development for new functionality, as big data enters a new paradigm shift.

MongoDB (MDB)

The stock is still sporting an elevated Schaeffer’s Volatility Scorecard (SVS) of 94 (out of 100). Even further, at the International Securities Exchange (ISE), Cboe Options Exchange (CBOE), and NASDAQ OMX PHLX (PHLX), MDB sports a 50-day put/call open interest ratio of 1.36, which ranks in the 98th annual percentile. In simpler terms, should this bearish sentiment begin to unwind, it could trigger further tailwinds for the software giant.

However, like we mentioned earlier, risk remains, with potential for macro headwinds. To alleviate unnecessary risk, it’s suggested to cut any remaining position if the stock breaks below the 200-day moving average.

Recommended Action: Buy MDB.

Subscribe to Schaeffer’s Investment Research here…

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Latest NoSQL Market Dynamics and Innovations 2023: Market Segmentation by Types [Key-Value Store, Document Databases, Column Based Stores, Graph Database], and Applications [Retail, Gaming, IT, Others] with Growing CAGR. The global NoSQL market size was valued at USD 5707.01 million in 2021 and is expected to expand at a CAGR of 31.32% during the forecast period, reaching USD 29274.25 million by 2027.

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“According to this latest research, the 2023 development of Third-Party Replacement Strap for NoSQL will have huge change from earlier year.” Ask for Sample Report

What are Latest Industry Insights?

The global NoSQL market size was valued at USD 5707.01 million in 2021 and is expected to expand at a CAGR of 31.32% during the forecast period, reaching USD 29274.25 million by 2027.

The report combines extensive quantitative analysis and exhaustive qualitative analysis, ranges from a macro overview of the total market size, industry chain, and market dynamics to micro details of segment markets by type, application and region, and, as a result, provides a holistic view of, as well as a deep insight into the NoSQL market covering all its essential aspects.

For the competitive landscape, the report also introduces players in the industry from the perspective of the market share, concentration ratio, etc., and describes the leading companies in detail, with which the readers can get a better idea of their competitors and acquire an in-depth understanding of the competitive situation. Further, mergers and acquisitions, emerging market trends, the impact of COVID-19, and regional conflicts will all be considered.

In a nutshell, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the market in any manner.

Global NoSQL Market Report 2023 is spread across 119 Pages and provides exclusive vital statistics, data, information, trends, and competitive landscape insights in this niche sector.

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Key highlights of the report:

• NoSQL market share appraisals for the country and regional level segments
• Combative landscape planning the significant customary trends
• NoSQL Market tendencies that involve product and technological analysis, drivers and constraints, PORTER’s five forces analysis
• Premeditated advice in essential business segments based on the market estimations
• Intentional guidance for new entrants
• NoSQL market prophesies all hinted segments, sub-segments, and regional market

Who are the Leading Key Players Operating in this Market?

Key players in the global NoSQL market are covered:

• PostgreSQL
• Neo Technology, Inc.
• Objectivity, Inc.
• Amazon Web Services, Inc.
• Google LLC
• Couchbase, Inc.
• MarkLogic Corporation
• DataStax, Inc.
• Aerospike, Inc.
• Microsoft Corporation
• MongoDB, Inc.

And More…………

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The product’s performance will be further enhanced by technological advancement, allowing it to acquire a wider range of applications in the downstream market. Besides, client inclination investigation, market elements (drivers, limitations, potential open doors), new item discharge, the effect of Coronavirus, local struggles, and carbon lack of bias give critical data to us to bring a profound plunge into the Catchphrase market.

On the basis of types, the NoSQL market is primarily split into:

• Key-Value Store
• Document Databases
• Column Based Stores
• Graph Database

On the basis of applications, the market covers:

• Retail
• Gaming
• IT
• Others

The NoSQL market size, segment size (primarily product type, application, and geography), competitor landscape, recent status, and development trends are the primary focus of the report. Moreover, the report gives systems to organizations to overcome threats presented by Coronavirus.

Enquire before purchasing this report–https://www.industryresearch.biz/enquiry/pre-order-enquiry/21703185

Which regions are dominating the NoSQL market growth?

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast of the following regions are covered:

• United States
• Europe
• China
• Japan
• India
• Southeast Asia
• Latin America
• Middle East and Africa

The report provides answers to several important questions related to the NoSQL Market, including:

• What is the anticipated pace of development and growth rate of the global NoSQL market?
• Who are the primary manufacturers operating within the market, and who are the leading NoSQL manufacturers worldwide?
• Which entities serve as distributors, traders, and dealers within the NoSQL market, and what factors are driving its growth?
• What opportunities and threats do vendors within the global NoSQL industry face?
• How do sales, revenue, and pricing vary among different types and applications of NoSQL products?
• What are the advantages, disadvantages, and risks associated with the NoSQL market overall?
• Who are the top manufacturers in terms of sales, revenue, and price analysis?
• How do regional, type, and application variations impact the NoSQL market’s revenue, sales, and pricing within the industry?

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Client Focus:

1. Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the NoSQL market?

Yes. As COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters 1.7, 2.7, 4.X.1, 7.5, 8.7, we elaborate at full length on the impact of the pandemic and the war on the NoSQL Industry.

2. How do you determine the list of the key players included in the report?

With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale, but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.

3. What are your main data sources?

Both Primary and Secondary data sources are being used while compiling the report.

Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users.

Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.

Please find a more complete list of data sources in Chapters 11.2.1 and 11.2.2.

4. Can I modify the scope of the report and customize it to suit my requirements?

Yes. Customized requirements of multi-dimensional, deep-level, and high-quality can help our customers precisely grasp market opportunities, effortlessly confront market challenges, properly formulate market strategies and act promptly, thus winning them sufficient time and space for market competition.

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Detailed TOC of NoSQL Market Research Report 2023 – Market Size, Current Insights, and Development Trends:

1 NoSQL Market Overview

1.1 Product Overview and Scope of NoSQL Market

1.2 NoSQL Market Segment by Type

1.2.1 Global NoSQL Market Sales and CAGR Comparison by Type (2017-2029)

1.3 Global NoSQL Market Segment by Application

1.3.1 NoSQL Market Consumption (Sales) Comparison by Application (2017-2029)

1.4 Global NoSQL Market, Region Wise (2017-2029)

1.5 Global Market Size (Revenue) of NoSQL (2017-2029)

1.5.1 Global NoSQL Market Revenue Status and Outlook (2017-2029)

1.5.2 Global NoSQL Market Sales Status and Outlook (2017-2029)

1.6 Influence of Regional Conflicts on the NoSQL Industry

1.7 Impact of Carbon Neutrality on the NoSQL Industry

2 NoSQL Market Upstream and Downstream Analysis

2.1 NoSQL Industrial Chain Analysis

2.2 Key Raw Materials Suppliers and Price Analysis

2.3 Key Raw Materials Supply and Demand Analysis

2.4 Market Concentration Rate of Raw Materials

2.5 Manufacturing Process Analysis

2.6 Manufacturing Cost Structure Analysis

2.6.1 Labor Cost Analysis

2.6.2 Energy Costs Analysis

2.6.3 RandD Costs Analysis

2.7 Major Downstream Buyers of NoSQL Analysis

2.8 Impact of COVID-19 on the Industry Upstream and Downstream

3 Players Profiles

4 Global NoSQL Market Landscape by Player

4.1 Global NoSQL Sales and Share by Player (2017-2022)

4.2 Global NoSQL Revenue and Market Share by Player (2017-2022)

4.3 Global NoSQL Average Price by Player (2017-2022)

4.4 Global NoSQL Gross Margin by Player (2017-2022)

4.5 NoSQL Market Competitive Situation and Trends

4.5.1 NoSQL Market Concentration Rate

4.5.2 NoSQL Market Share of Top 3 and Top 6 Players

4.5.3 Mergers and Acquisitions, Expansion

5 Global NoSQL Sales, Revenue, Price Trend by Type

5.1 Global NoSQL Sales and Market Share by Type (2017-2022)

5.2 Global NoSQL Revenue and Market Share by Type (2017-2022)

5.3 Global NoSQL Price by Type (2017-2022)

5.4 Global NoSQL Sales, Revenue and Growth Rate by Type (2017-2022)

6 Global NoSQL Market Analysis by Application

6.1 Global NoSQL Consumption and Market Share by Application (2017-2022)

6.2 Global NoSQL Consumption Revenue and Market Share by Application (2017-2022)

6.3 Global NoSQL Consumption and Growth Rate by Application (2017-2022)

7 Global NoSQL Sales and Revenue Region Wise (2017-2022)

7.1 Global NoSQL Sales and Market Share, Region Wise (2017-2022)

7.2 Global NoSQL Revenue and Market Share, Region Wise (2017-2022)

7.3 Global NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.4 United States NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.5 Europe NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.6 China NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.7 Japan NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.8 India NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.9 Southeast Asia NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.10 Latin America NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

7.11 Middle East and Africa NoSQL Sales, Revenue, Price and Gross Margin (2017-2022)

8 Global NoSQL Market Forecast (2022-2029)

8.1 Global NoSQL Sales, Revenue Forecast (2022-2029)

8.1.1 Global NoSQL Sales and Growth Rate Forecast (2022-2029)

8.1.2 Global NoSQL Revenue and Growth Rate Forecast (2022-2029)

8.1.3 Global NoSQL Price and Trend Forecast (2022-2029)

8.2 Global NoSQL Sales and Revenue Forecast, Region Wise (2022-2029)

8.3 Global NoSQL Sales, Revenue and Price Forecast by Type (2022-2029)

8.4 Global NoSQL Consumption Forecast by Application (2022-2029)

8.5 NoSQL Market Forecast Under COVID-19

9 Industry Outlook

9.1 NoSQL Market Drivers Analysis

9.2 NoSQL Market Restraints and Challenges

9.3 NoSQL Market Opportunities Analysis

9.4 Emerging Market Trends

9.5 NoSQL Industry Technology Status and Trends

9.6 News of Product Release

9.7 Consumer Preference Analysis

9.8 NoSQL Industry Development Trends under COVID-19 Outbreak

Continue……………….

Reasons to buy NoSQL Market Report:

• A comprehensive examination of the market both globally and locally.
• Significant shifts in the nature of competition and market dynamics.
• Segmentation by type, application, location, and other factors.
• Analyses of the present and potential markets in terms of size, share, expansion, volume, and sales.
• Major shifts in market dynamics and developments, as well as an evaluation
• An analysis of the size and share of the industry in conjunction with trends and growth in the industry
• Emerging key regions and segments
• Major market players’ key business strategies and methods
• The NoSQL Market’s global and regional size, share, trends, and growth are all examined in the research report.

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Press Release Distributed by The Express Wire

To view the original version on The Express Wire visit NoSQL Market: Latest Innovations 2023 | Future Trends, Challenges, and Growth Outlook by 2029

Article originally posted on InfoQ. Visit InfoQ

AWS recently announced a recursion control feature in AWS Lambda that detects and stops Lambda functions running in a recursive or infinite loop.

This feature is available for Lambda integrations with Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), or when invoking functions directly through the Lambda invoke API. Within Lambda, a detection mechanism is implemented to identify functions that seem caught in a recursive loop. When a function is triggered by the same event more than 16 times, Lambda will halt the subsequent invocation and route the event to either a Dead-Letter Queue (DLQ) or an on-failure destination. Furthermore, if configured, users will receive an AWS Health Dashboard notification with troubleshooting steps, email, or Amazon CloudWatch Alarms.

Diagram showing some examples of loops that Lambda can detect (Source: AWS Lambda Developer Guide)

The authors of an AWS Compute blog post on the feature explain that the feature only works when functions use one of the supported AWS SDK versions or higher:

Lambda uses an AWS X-Ray trace header primitive called “Lineage” to track the number of times a function has been invoked with an event. When your function code sends an event using a supported AWS SDK version, Lambda increments the counter in the lineage header. If your function is then invoked with the same triggering event more than 16 times, Lambda stops the next invocation for that event. You do not need to configure active X-Ray tracing for this feature to work.

In the same blog post, the authors provide an example, available on GitHub, where they explain that after the 16th invocation, Lambda will throw a RecursiveInvocationException to the ECMAScript (ES) modules (ESM), which stops invoking the Lambda function since the maxReceiveCount is exceeded. SQS moves the message to the source queues configured DLQ.

Suppose the recursive detection occurs and the Lambda function stops. In that case, the company advises fixing the underlying issue and setting the concurrency to 0 by choosing the “Throttle” button in the Lambda console or using the PutFunctionConcurrency API. In addition, users can disable or delete the event source mapping or trigger for the Lambda function.

AJ Stuyvenberg, a staff engineer at Datadog and AWS Serverless Hero, tweeted:

New: Lambda has recursive loop detection! Now your functions won’t runaway to the maximum concurrency limit if you accidentally cause an infinite loop.

 Marek Kuczyński, a solution architect at Wiz, responded with:

Wow – this is big!

Seen too many refund cases because people created an invoke loop.

Cost can run high earlier in Lambda functions when a recursive loop occurs due to misconfiguration or mistakes when writing lambda code. This is now prevented since the recursive loop detection is enabled by default on Lambda functions, and Michael Brewer, a VP architect fellow platform engineering at Fiserv, added in a tweet:

Now please add a hard spending cap limit. At least for developer accounts. Once the spending limit, the account should be frozen. Either that or sandbox accounts.

And finally, Jatin Mehrotra, a cloud engineer at Classmethod, stated at the end of a blog post:

Right now, this feature is not supported for other services like Dynamodb and S3 events. In the case of Dynamodb and S3, the only way to detect a recursive loop is by using Cloudwatch alarms. Please make a note of this.

Lastly, to turn off the feature, users must contact AWS Support. In addition, for using recursive invocation patterns, details are available in the Recursive patterns that cause run-away Lambda functions in the AWS Lambda Operator Guide.