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There was a flurry of activity in the Spring ecosystem during the week of May 19th, 2025, highlighting GA releases of Spring Boot, Spring Security, Spring Authorization Server, Spring Session, Spring Integration, Spring for GraphQL, Spring AI and Spring Web Services.

Spring Boot

The release of Spring Boot 3.5.0 delivers bug fixes, improvements in documentation, dependency upgrades and new features such as: new annotations, @ServletRegistration and @FilterRegistration, to register instances of the Jakarta Servlet Servlet and Filter interfaces, respectively; and the ability to customize structured logging stack traces. More details on this release may be found in the release notes and this InfoQ news story.

Spring Security

The release of Spring Security 6.5.0 ships with bug fixes, dependency upgrades and new features such as: an implementation of the OAuth 2.0 Demonstrating Proof-of-Possession (DPoP) specification; and support for Micrometer context propagation to propagate authorization between an instance of the ThreadLocalAccessor interface and reactive operations. Further details on this release may be found in the release notes and what’s new page.

Similarly, the release of Spring Security 6.4.6 features a resolution to CVE-2025-41232, a vulnerability where Spring Security Aspects, under certain conditions, may not correctly locate method security annotations on private methods potentially leading to an authorization bypass. More details on this release may be found in the release notes.

Spring Authorization Server

The release of Spring Authorization Server 1.5.0 delivers bug fixes, dependency upgrades and new features such as: an implementation of the OAuth 2.0 Pushed Authorization Requests (PAR) specification and the aforementioned OAuth 2.0 Demonstrating Proof of Possession (DPoP) specification; and a replacement of the deprecated Spring Boot @MockBean annotation with the preferred Spring Framework @MockitoBean annotation where applicable. Further details on this release may be found in the release notes.

Spring for GraphQL

The release of Spring for GraphQL 1.4.0 ships with dependency upgrades and a new feature that adds a name field, of type String and annotated with @Nullable, to the DataLoader class for improved registration of data loaders. More details on this release may be found in the release notes.

Spring Session

The release of Spring Session 3.5.0 features many dependency upgrades and a resolution to a race condition and ClassCastException during integration testing using an instance of the SessionEventRegistry class due to the class assuming there is only one single event type for each session ID. Further details on this release may be found in the release notes.

Spring Integration

The release of Spring Integration 6.5.0 delivers bug fixes, dependency upgrades and new features such as: a new AbstractRecentFileListFilter class, an implementation of the FileListFilter interface, that accepts only recent files based on a provided age; and implementations of the Spring Framework MessageChannel interface now throw a MessageDispatchingException when an application context has not yet started or stopped at runtime. More details on this release may be found in the release notes and what’s new page.

Spring AI

The release of Spring AI 1.0.0 features: a ChatClient interface that supports 20 AI models with multi-modal inputs and an output with a structured response; an Advisors API that serves as an interceptor chain for developers to modify incoming prompts by injecting retrieval data and conversation memory; and full support for the Model Context Protocol. Further details on this release may be found in the release notes and this InfoQ news story. Developers can also learn how to create their first Spring AI 1.0 application in this user guide.

Spring Web Services

The release of Spring Web Services 4.1.0 delivers bug fixes, dependency upgrades and new features such as: support for configuring arbitrary options for Apache Web Services Security for Java (WSS4J) via the Wss4jSecurityInterceptor class; and the ability to create custom implementations of the MethodArgumentResolver and MethodReturnValueHandler interfaces. More details on this release may be found in the release notes.

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MongoDB, Inc. (NASDAQ:MDB – Get Free Report) has been given a consensus rating of “Moderate Buy” by the thirty-three brokerages that are presently covering the company, MarketBeat.com reports. Nine research analysts have rated the stock with a hold rating, twenty-three have assigned a buy rating and one has assigned a strong buy rating to the company. The average 1 year price objective among brokers that have updated their coverage on the stock in the last year is $288.91.

A number of equities research analysts have weighed in on MDB shares. Monness Crespi & Hardt upgraded shares of MongoDB from a “sell” rating to a “neutral” rating in a research note on Monday, March 3rd. Rosenblatt Securities reaffirmed a “buy” rating and set a $350.00 price objective on shares of MongoDB in a report on Tuesday, March 4th. Scotiabank reaffirmed a “sector perform” rating and set a $160.00 price objective (down from $240.00) on shares of MongoDB in a report on Friday, April 25th. Wedbush decreased their price objective on MongoDB from $360.00 to $300.00 and set an “outperform” rating on the stock in a report on Thursday, March 6th. Finally, Robert W. Baird decreased their price objective on MongoDB from $390.00 to $300.00 and set an “outperform” rating on the stock in a report on Thursday, March 6th.

Get Our Latest Analysis on MongoDB

MongoDB Trading Down 1.4%

Shares of MDB stock opened at $185.85 on Friday. MongoDB has a 1 year low of $140.78 and a 1 year high of $370.00. The firm has a market capitalization of $15.09 billion, a P/E ratio of -67.83 and a beta of 1.49. The firm’s fifty day simple moving average is $174.70 and its 200 day simple moving average is $235.98.

MongoDB (NASDAQ:MDB – Get Free Report) last released its earnings results on Wednesday, March 5th. The company reported $0.19 earnings per share for the quarter, missing analysts’ consensus estimates of $0.64 by ($0.45). MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The firm had revenue of $548.40 million for the quarter, compared to analyst estimates of $519.65 million. During the same period last year, the business earned $0.86 earnings per share. Equities research analysts anticipate that MongoDB will post -1.78 EPS for the current fiscal year.

Insider Activity

In related news, Director Dwight A. Merriman sold 3,000 shares of the stock in a transaction that occurred on Monday, March 3rd. The shares were sold at an average price of $270.63, for a total value of $811,890.00. Following the sale, the director now directly owns 1,109,006 shares in the company, valued at $300,130,293.78. This trade represents a 0.27% decrease in their position. The sale was disclosed in a legal filing with the SEC, which is available at this link. Also, CEO Dev Ittycheria sold 18,512 shares of the stock in a transaction that occurred on Wednesday, April 2nd. The shares were sold at an average price of $173.26, for a total transaction of $3,207,389.12. Following the completion of the sale, the chief executive officer now owns 268,948 shares in the company, valued at $46,597,930.48. This represents a 6.44% decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold a total of 33,538 shares of company stock valued at $6,889,905 in the last 90 days. 3.60% of the stock is owned by company insiders.

Institutional Trading of MongoDB

Hedge funds have recently modified their holdings of the company. B.O.S.S. Retirement Advisors LLC acquired a new stake in MongoDB during the 4th quarter worth $606,000. Union Bancaire Privee UBP SA acquired a new stake in MongoDB during the 4th quarter worth $3,515,000. HighTower Advisors LLC raised its stake in MongoDB by 2.0% during the 4th quarter. HighTower Advisors LLC now owns 18,773 shares of the company’s stock worth $4,371,000 after buying an additional 372 shares during the period. Nisa Investment Advisors LLC raised its stake in MongoDB by 428.0% during the 4th quarter. Nisa Investment Advisors LLC now owns 5,755 shares of the company’s stock worth $1,340,000 after buying an additional 4,665 shares during the period. Finally, Jones Financial Companies Lllp raised its stake in MongoDB by 68.0% during the 4th quarter. Jones Financial Companies Lllp now owns 1,020 shares of the company’s stock worth $237,000 after buying an additional 413 shares during the period. 89.29% of the stock is currently owned by institutional investors and hedge funds.

About MongoDB

(Get Free Report

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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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Cisco’s innovation arm, Outshift, has unveiled JARVIS. An AI-powered assistant designed to streamline platform-engineering workflows. JARVIS offers a conversational interface that simplifies complex tasks, reducing both execution time and cognitive overhead.

Cisco has developed JARVIS as a member of the platform-engineering team. JARVIS can integrate with over 40 tools and, among other tasks, can seamlessly provision infrastructure, onboard new applications to CI and retrieve important documents with all instructions originating from natural language. The team at Cisco communicate with JARVIS using tools they already use every day, such as Jira, Webex and Backstage. The team can assign Jira tickets to JARVIS, and it executes the work.

The results have been significant. In a LangChain blog post, they reported that “Tasks that previously took a week, such as setting up CI/CD pipelines, can now be completed in under an hour.” According to a  NetworkWorld blog post, “Engineers spend up to 70% of their time on repetitive tasks rather than innovation. JARVIS automates these workflows, turning day-long processes into minute-long ones.”/p>

JARVIS is powered by a hybrid AI architecture that combines multiple techniques. Built using LangGraph, the main engine behind JARVIS is large language models (LLMs) that provide the natural-language processing capability to best interpret developer requests. However, the responses generated by the LLMs are not immediately trusted. JARVIS implements three additional safeguards to ensure accuracy and reliability. First, it uses rule-based validation through symbolic logic to confirm that outputs adhere to predefined standards, such as naming conventions. Second, it enforces clearly defined, repeatable workflows to ensure tasks are executed consistently, without allowing the AI to improvise. Finally, it introduces agent supervision, where one agent reviews and verifies the work of another, adding an additional layer of quality control.

To answer knowledge questions, JARVIS leverages retrieval-augmented generation (RAG) by allowing its AI agents to supplement their in-memory knowledge by looking up information from external sources of structured data like wikis and codebases.

At present, JARVIS is only used internally at Cisco. However, the company has announced plans to open-source key components such as its integration with Backstage and standalone agents. The project is also contributing to the Internet of Agents initiative of intelligent software agents that can communicate and collaborate across shared protocols.

Bill Gates, co-founder of Microsoft, sees AI agents like JARVIS as a part of the future. In a 2024 blog post, he noted, “Agents are not only going to change how everyone interacts with computers. They’re also going to upend the software industry, bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.”

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UBS AM a distinct business unit of UBS ASSET MANAGEMENT AMERICAS LLC lessened its stake in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 7.8% during the fourth quarter, according to its most recent disclosure with the Securities and Exchange Commission (SEC). The firm owned 1,141,993 shares of the company’s stock after selling 96,353 shares during the quarter. UBS AM a distinct business unit of UBS ASSET MANAGEMENT AMERICAS LLC owned about 1.53% of MongoDB worth $265,867,000 at the end of the most recent reporting period.

Other hedge funds and other institutional investors have also recently added to or reduced their stakes in the company. Woodline Partners LP bought a new position in MongoDB during the 4th quarter valued at $247,000. Vident Advisory LLC lifted its holdings in shares of MongoDB by 25.9% in the fourth quarter. Vident Advisory LLC now owns 1,851 shares of the company’s stock valued at $431,000 after buying an additional 381 shares during the period. Spyglass Capital Management LLC boosted its stake in MongoDB by 5.8% during the fourth quarter. Spyglass Capital Management LLC now owns 249,683 shares of the company’s stock valued at $58,129,000 after buying an additional 13,712 shares in the last quarter. Two Sigma Investments LP acquired a new position in MongoDB during the fourth quarter worth about $768,000. Finally, Two Sigma Advisers LP acquired a new position in MongoDB during the fourth quarter worth about $6,519,000. Institutional investors own 89.29% of the company’s stock.

Insider Transactions at MongoDB

In related news, CEO Dev Ittycheria sold 8,335 shares of the company’s stock in a transaction on Wednesday, February 26th. The shares were sold at an average price of $267.48, for a total value of $2,229,445.80. Following the completion of the sale, the chief executive officer now directly owns 217,294 shares in the company, valued at approximately $58,121,799.12. This represents a 3.69% decrease in their ownership of the stock. The sale was disclosed in a document filed with the SEC, which is accessible through this link. Also, Director Dwight A. Merriman sold 3,000 shares of the business’s stock in a transaction dated Monday, March 3rd. The stock was sold at an average price of $270.63, for a total value of $811,890.00. Following the completion of the sale, the director now directly owns 1,109,006 shares of the company’s stock, valued at $300,130,293.78. This represents a 0.27% decrease in their position. The disclosure for this sale can be found here. Insiders have sold a total of 33,538 shares of company stock worth $6,889,905 in the last 90 days. 3.60% of the stock is owned by insiders.

Analysts Set New Price Targets

MDB has been the topic of several recent research reports. Truist Financial lowered their price objective on shares of MongoDB from $300.00 to $275.00 and set a “buy” rating on the stock in a research note on Monday, March 31st. Loop Capital lowered shares of MongoDB from a “buy” rating to a “hold” rating and decreased their price target for the stock from $350.00 to $190.00 in a research report on Tuesday. Macquarie cut their price objective on MongoDB from $300.00 to $215.00 and set a “neutral” rating for the company in a research report on Friday, March 7th. KeyCorp cut MongoDB from a “strong-buy” rating to a “hold” rating in a report on Wednesday, March 5th. Finally, The Goldman Sachs Group cut their target price on MongoDB from $390.00 to $335.00 and set a “buy” rating on the stock in a research report on Thursday, March 6th. Nine investment analysts have rated the stock with a hold rating, twenty-three have assigned a buy rating and one has issued a strong buy rating to the company’s stock. According to MarketBeat.com, the company presently has a consensus rating of “Moderate Buy” and an average price target of $288.91.

Read Our Latest Stock Report on MongoDB

MongoDB Trading Down 2.1%

MDB opened at $185.01 on Thursday. The stock has a fifty day moving average price of $174.84 and a 200 day moving average price of $237.45. MongoDB, Inc. has a 1 year low of $140.78 and a 1 year high of $379.06. The stock has a market cap of $15.02 billion, a price-to-earnings ratio of -67.52 and a beta of 1.49.

MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings results on Wednesday, March 5th. The company reported $0.19 earnings per share (EPS) for the quarter, missing the consensus estimate of $0.64 by ($0.45). MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. The firm had revenue of $548.40 million for the quarter, compared to analyst estimates of $519.65 million. During the same quarter in the prior year, the firm earned $0.86 earnings per share. As a group, sell-side analysts forecast that MongoDB, Inc. will post -1.78 earnings per share for the current fiscal year.

MongoDB Company Profile

(Free Report)

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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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The new release of LiteRT, formerly known as TensorFlow Lite, introduces a new API to simplify on-device ML inference, enhanced GPU acceleration, support for Qualcomm NPU (Neural Processing Unit) accelerators, and advanced inference features.

One of the goals of the latest LiteRT release is to make it easier for developers to harness GPU and NPU acceleration, which previously required working with specific APIs or vendor-specific SDKs:

By accelerating your AI models on mobile GPUs and NPUs, you can speed up your models by up to 25x compared to CPU while also reducing power consumption by up to 5x.

For GPUs, LiteRT introduces MLDrift, a new GPU acceleration implementation that offers several improvements over TFLite’s GPU delegate. These include more efficient tensor-based data organization, context- and resource-aware smart computation, and optimized data transfer and conversion.

This results in significantly faster performance than CPUs, than previous versions of our TFLite GPU delegate, and even other GPU enabled frameworks particularly for CNN and Transformer models.

LiteRT also targets neural processing units (NPUs), which are AI-specific accelerators designed to speed up inference. According to Google’s internal benchmarks, NPUs can deliver up to 25× faster performance than CPUs while using just one-fifth of the power. However, there is no standard way to integrate these accelerators, often requiring custom SDKs and vendor-specific dependencies.

Thus, to provide a uniform way to develop and deploy models on NPUs, Google has partenered with Qualcomm and MediaTek to add support for their NPUs in LiteRT, enabling acceleration for vision, audio, and NLP models. This includes automatic SDK downloads alongside LiteRT, as well as opt-in model and runtime distribution via Google Play.

Moreover, to make handling GPU and NPU acceleration even easier, Google has streamlined LiteRT’s API to let developers specify the target backend to use when creating a compiled model. This is done with the CompiledModel::Create method, which supports CPU, XNNPack, GPU, NNAPI (for NPUs), and EdgeTPU backends, significantly simplifying the process compared to previous versions, which required different methods for each backend.

The LiteRT API also introduces features aimed at optimizing inference performance, especially in memory- or processor-constrained environments. These include buffer interoperability via the new TensorBuffer API, which eliminates data copies between GPU memory and CPU memory; and support for asynchronous, concurrent execution of different parts of a model across CPU, GPU, and NPUs, which, according to Google, can reduce latency by up to 2x.

LiteRT can be downloaded from GitHub and includes several sample apps demonstrating how to use it.

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Redis 8 has recently hit general availability, switching to the AGPLv3 license. A year after leaving its open source roots to challenge cloud service providers and following the birth of Valkey, Redis has rehired its creator and moved back to an open source license.

Initially released under the more permissive BSD license, Redis switched to the more restrictive and not open source SSPLv1 license in March 2024, sparking concerns in the community and triggering the successful Valkey fork. Just over a year later, the project’s direction has changed again, and Redis 8.0 is once more open source software, this time under the terms of the OSI-approved AGPLv3 license.

According to Redis’ announcement, the new major release delivers several performance improvements, including up to 87% faster commands, up to 2× higher throughput in operations per second, and up to 18% faster replication. It also introduces the beta of Vector Sets, which is discussed separately on InfoQ. Salvatore Sanfilippo (aka ‘antirez’), the creator of Redis, explains:

Five months ago, I rejoined Redis and quickly started to talk with my colleagues about a possible switch to the AGPL license, only to discover that there was already an ongoing discussion, a very old one, too. (…) Writing open source software is too rooted in me: I rarely wrote anything else in my career. I’m too old to start now.

A year ago, the more restrictive license triggered different forks of Redis, including the very successful and CNCF-backed Valkey that gained immediate support from many providers, including AWS and Google Cloud. AWS has launched ElastiCache for Valkey and MemoryDB for Valkey at significant discounts compared to their ElastiCache for Redis version offering.

While noting that Valkey is currently outperforming Redis 8.0 in real-world benchmarks, Khawaja Shams, CEO and co-founder of Momento, welcomes Sanfilippo’s return to Redis and writes:

I am genuinely excited about his return because it is already impactful. He’s following through on his promise of contributing new features and performance optimizations to Redis. More profoundly, Redis 8.0 has been open-sourced again.

While many predict that developers using Valkey will not switch back to Redis, they also acknowledge that Valkey will face tougher competition. Peter Zaitsev, founder of Percona and open source advocate, highlights one of the advantages of Redis:

While a lot has been said about Redis going back to opensource with AGPLv3 License, I think it has been lost it is not same Redis which has been available under BSD license couple of years ago – number of extensions, such as RedisJSON which has not been Open Source since 2018 are now included with Redis under same AGPLv3 license. This looks like an important part of the response against Valkey, which does not have all the same features, as only the “core” Redis BSD code was forked

The article “Redis is now available under the AGPLv3 open source license” confirms that, aside from the new data type (vector sets), the open source project now integrates various Redis Stack technologies, including JSON, Time Series, probabilistic data types, and the Redis Query Engine into core Redis 8 under AGPL.

The new major release and licensing change have sparked popular threads on Reddit, with many practitioners suggesting it’s too late and calling it a sign of a previous bad decision. Some developers believe the project’s greatest asset remains its creator, while Philippe Ombredanne, lead maintainer of AboutCode, takes a more pessimistic view of the future:

Users see through these shenanigans. For Redis, the damage to their user base is likely already done, irreparable and the shattered trust never to be regained.

Redis is not the first project to switch back from SSPLv1 to AGPL following a successful fork and a loss of community support and trust. A year ago, Shay Banon, founder and CEO of Elastic, announced a similar change for Elasticsearch and Kibana, as reported on InfoQ.

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MongoDB (NASDAQ:MDB – Get Free Report) is expected to be issuing its Q1 2026 quarterly earnings data before the market opens on Thursday, May 29th. Analysts expect the company to announce earnings of $0.65 per share and revenue of $527.49 million for the quarter. MongoDB has set its Q1 2026 guidance at 0.630-0.670 EPS and its FY 2026 guidance at 2.440-2.620 EPS.

MongoDB (NASDAQ:MDB – Get Free Report) last released its earnings results on Wednesday, March 5th. The company reported $0.19 earnings per share for the quarter, missing the consensus estimate of $0.64 by ($0.45). The company had revenue of $548.40 million for the quarter, compared to analysts’ expectations of $519.65 million. MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. During the same quarter last year, the firm posted $0.86 earnings per share. On average, analysts expect MongoDB to post $-2 EPS for the current fiscal year and $-2 EPS for the next fiscal year.

MongoDB Stock Performance

NASDAQ MDB opened at $185.01 on Thursday. The business’s fifty day moving average is $174.84 and its 200 day moving average is $237.45. The company has a market capitalization of $15.02 billion, a PE ratio of -67.52 and a beta of 1.49. MongoDB has a fifty-two week low of $140.78 and a fifty-two week high of $379.06.

Analyst Upgrades and Downgrades

Several brokerages have recently issued reports on MDB. Scotiabank reaffirmed a “sector perform” rating and issued a $160.00 target price (down from $240.00) on shares of MongoDB in a report on Friday, April 25th. Morgan Stanley reduced their price objective on MongoDB from $315.00 to $235.00 and set an “overweight” rating on the stock in a research note on Wednesday, April 16th. Wedbush reduced their price objective on MongoDB from $360.00 to $300.00 and set an “outperform” rating on the stock in a research note on Thursday, March 6th. Canaccord Genuity Group cut their target price on MongoDB from $385.00 to $320.00 and set a “buy” rating on the stock in a research note on Thursday, March 6th. Finally, Daiwa Capital Markets started coverage on MongoDB in a research note on Tuesday, April 1st. They set an “outperform” rating and a $202.00 target price on the stock. Nine research analysts have rated the stock with a hold rating, twenty-three have assigned a buy rating and one has issued a strong buy rating to the company. Based on data from MarketBeat, the stock has an average rating of “Moderate Buy” and an average target price of $288.91.

Get Our Latest Report on MongoDB

Insiders Place Their Bets

In other news, Director Dwight A. Merriman sold 3,000 shares of the company’s stock in a transaction that occurred on Monday, March 3rd. The shares were sold at an average price of $270.63, for a total value of $811,890.00. Following the completion of the sale, the director now directly owns 1,109,006 shares of the company’s stock, valued at approximately $300,130,293.78. This represents a 0.27% decrease in their position. The sale was disclosed in a legal filing with the SEC, which is accessible through this link. Also, CAO Thomas Bull sold 301 shares of the stock in a transaction that occurred on Wednesday, April 2nd. The shares were sold at an average price of $173.25, for a total transaction of $52,148.25. Following the sale, the chief accounting officer now directly owns 14,598 shares of the company’s stock, valued at approximately $2,529,103.50. This represents a 2.02% decrease in their ownership of the stock. The disclosure for this sale can be found here. In the last 90 days, insiders sold 33,538 shares of company stock worth $6,889,905. Insiders own 3.60% of the company’s stock.

Institutional Inflows and Outflows

A hedge fund recently raised its stake in MongoDB stock. Integrated Wealth Concepts LLC increased its position in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 31.6% in the 1st quarter, according to the company in its most recent filing with the Securities and Exchange Commission. The firm owned 1,363 shares of the company’s stock after buying an additional 327 shares during the period. Integrated Wealth Concepts LLC’s holdings in MongoDB were worth $239,000 at the end of the most recent reporting period. Institutional investors own 89.29% of the company’s stock.

MongoDB Company Profile

(Get Free Report)

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides 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-premises, 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.

Further Reading

This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.

Before you consider MongoDB, you’ll want to hear this.

MarketBeat keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and MongoDB wasn’t on the list.

While MongoDB currently has a Moderate Buy rating among analysts, top-rated analysts believe these five stocks are better buys.

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At its Build 2025 conference, Microsoft announced Edit, a new open-source command-line text editor, to be distributed in the future as part of Windows 11. Edit aims to provide a lightweight native, modern command-line editing experience similar to Nano and Vim.

Microsoft explained developing Edit because 64-bit Windows lacked a default command-line text editor, a gap since the 32-bit MS-DOS Edit. Microsoft opted for a modeless design to be more user-friendly than modal editors like Vim (see Stackoverflow’s Helping One Million Developers Exit Vim) and built its own tool after finding existing modeless options either unsuitable for bundling or lacking Windows support.

Microsoft positions Edit as a simple editor for simple needs. Features include mouse support, the ability to open multiple files and switch between them, find and replace capabilities (including regex), and word wrap. The user interface features a modern interface and input controls similar to Visual Studio Code. There is however no right-click menu in the app.

Written in Rust, the editor stands small, at less than 250KB in size.

Discussions among developers on platforms like Reddit and Hacker News show varied reactions. Many commenters debated the necessity of a new CLI editor on Windows, questioning its use case given existing options. Some feel it’s redundant for those already using WSL with Nano or Vim or other tools like Git Bash, while others see it as potentially useful for quick, basic edits in a native Windows context without needing third-party installs or WSL.

Edit’s main contributor chimed in with a detailed rationale behind the in-house development:

We decided against nano, kilo, micro, yori, and others for various reasons. What we wanted was a small binary so we can ship it with all variants of Windows without extra justifications for the added binary size. It also needed to have decent Unicode support. It should’ve also been one built around VT output as opposed to Console APIs to allow for seamless integration with SSH. Lastly, first-class support for Windows was obviously also quite important. I think out of the listed editors, micro was probably the one we wanted to use the most, but… it’s just too large.

Microsoft has released Edit’s source code under the MIT license. Edit is not currently available in the stable channel of Windows 11. However, users can download Microsoft Edit from the project’s GitHub page.

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Microsoft is throwing more transactional database systems into its Fabric analytics and data lake environment in expectation the proximity will help users that are adding AI to their systems.

During its Build conference this week, the Redmond software and cloud biz said it was adding transactional document database Cosmos DB and its relational workhorse SQL Server to Fabric, the analytics and data lake platform first announced in June 2023.

Adding Cosmos DB’s global secondary index to Fabric, for example, would remove the need to scan all the operational data in an Azure Cosmos DB database, Microsoft said. This is intended to enable faster queries and minimize latency while also helping to make sure that queries do not negatively impact transactional performance, the vendor argued.

Arun Ulag, corporate vice president for Azure data, told The Register the idea is to let customers bring AI and analytics workloads closer to their transactional data as the two would share the same underlying file format, Apache Parquet, in the data lake environment, which Microsoft calls OneLake and uses the open source Delta Lake format.

“Cosmos DB is a great place to store your entire product catalog, for example, and with customers browsing around your website, you want to make recommendations. Anything built on Fabric, by default, all of the data, whether it’s SQL Server or Cosmos DB or a data warehouse or data lake, is sitting on OneLake,” he said.

“Everything is in the open source, Apache Parquet, Delta Lake format, which means if you’re building a machine learning model, the data is just there and always current. You don’t need to build copies. You don’t need to shuttle data around. You can build your machine learning models directly on top of OneLake.”

Aaron Rosenbaum, Gartner senior director, data management and analytics, said the move was part of a continuing trend of making integration simple and automated between different parts of the data management infrastructure.

“The replication is announced as ‘near real time,’ enabling reporting on operational data in PowerBI join directly against other assets in Fabric. CosmosDB a key component of many GenAI applications built on Azure. It allows for the real-time interaction support and directly supports vector indexes. These vector embeddings carry over to the Fabric copy and can be utilized on analytics in Fabric,” he told us.

Keen readers might have noticed Microsoft gave developers looking for a document database another option earlier this year, by creating open-source extensions to PostgreSQL, commonly provided as a service by cloud providers.

Ulag said Microsoft’s relational database of choice remains SQL Server and the document database of choice is still Cosmos DB yet.

“We’ve made massive investments in PostgreSQL, so from our perspective, we want to give customers a choice. If PostgreSQL is your database of choice, and on top of that, you want to run a document database, fantastic, we have a PostgreSQL extension that just does that.”

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MongoDB, a global database management systems provider, is officially entering the African market, starting with Nigeria, as it looks to tap into the continent’s projected $100 billion digital economy. This move is anchored by a strategic partnership with Tier 5 Technologies, a West African enterprise IT and cloud services provider, and marks MongoDB’s first physical presence on the continent. The company is betting on Nigeria’s fast-growing tech sector to serve as a launchpad for wider African expansion.

Founded in 2007, MongoDB began as a NoSQL alternative to traditional relational databases, offering developers a more flexible and scalable way to manage unstructured data. Over time, it has evolved into a full-scale developer data platform used by over 52,000 customers in more than 100 countries, including major institutions like JP Morgan and Coinbase. Its flagship product, MongoDB Atlas, is a cloud-native database designed for modern applications across fintech, e-commerce, AI, and more. The choice of Nigeria as the company’s entry point into Africa is no coincidence. As the continent’s most populous country and a leading innovation hub, Nigeria boasts a $10 billion tech industry, a digitally progressive banking sector, and one of Africa’s largest developer communities. Despite economic challenges, the country continues to attract international investment and produce globally recognised startups. Tier 5 Technologies, which has offices in Lagos, Abuja, Kigali, Nairobi, and Accra, will serve as MongoDB’s primary implementation and support partner in West Africa. The firm works across key sectors including finance, telecommunications, and government. 

According to Tier 5’s Director of Sales, Afolabi Bolaji, the MongoDB partnership is strategic and future-focused. “This isn’t just a reseller deal,” Bolaji said at the official launch event in Lagos on Thursday. “We’ve made significant investments in MongoDB because we believe it will underpin the next generation of African innovation. Many of our customers—from nimble fintechs to established banks—already rely on it. Now, they’ll have access to enterprise-grade features, local support, and global expertise.”

MongoDB’s product suite includes three core offerings: the open-source Community edition, the Enterprise edition (designed for large-scale deployments with enhanced security), and MongoDB Atlas, its fully managed cloud database available across AWS, Google Cloud, and Microsoft Azure. The Atlas product is especially relevant in Africa, where cloud adoption is rising, and traditional IT infrastructure remains a challenge. By delivering scalable, low-latency databases via the cloud, MongoDB aims to bypass infrastructure limitations and empower developers to build world-class applications—whether in Lagos or Nairobi.

Mahmoud Thakeb, MongoDB’s Regional Head for Africa, described the expansion into Nigeria as a “crucial moment” for the company. “We’ve supported banks, startups, and telcos from afar, but we knew a deeper commitment was needed,” he said. “Nigeria has the scale, talent, and ambition that aligns with our mission. This isn’t just about selling a product—it’s about building an ecosystem.” 

Thakeb added that MongoDB’s goal is to democratise access to cutting-edge technology. “We’re not saying throw out SQL or legacy systems overnight. We’re saying developers in Africa should have the same tools and opportunities as developers in London or San Francisco.”

MongoDB’s entry reflects a broader shift in how Africa is perceived by global technology leaders. No longer just a consumer market, the continent is being recognised as a source of innovation, technical talent, and enterprise demand. The company’s presence could help catalyse further investments in cloud infrastructure, data skills development, and digital transformation initiatives. With surging demand for solutions in fintech, logistics, AI, and edtech across the continent, MongoDB’s arrival is timely—and potentially transformative.

By embedding itself in Nigeria’s digital ecosystem and backing it with Tier 5’s regional reach, MongoDB is signaling a long-term commitment to Africa’s tech future. And if the bet pays off, the company won’t just gain market share, it could help define how Africa builds its digital economy from the ground up.

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