Month: March 2025
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
Investing.com — Monness, Crespi, Hardt upgraded Oracle Corporation (NYSE:ORCL) and MongoDB (NASDAQ:MDB), both to “Neutral” from “Sell” given the growth opportunities in cloud and generative AI despite ongoing challenges.
For Oracle, the brokerage expects the company to meet its third-quarter fiscal 2025 revenue estimate of $14.56 billion, up 10% year-over-year, and non-GAAP EPS of $1.54. While Oracle has potential in AI and cloud, the note flagged concerns over valuation, capital expenditures, and competition.
Monness, Crespi, Hardt said Oracle represents a high-quality company with the opportunity to participate in a cloud transformation and benefit from the gen AI trend, but flagged a stretched valuation, an unsustainable capex spending, fierce competition, transition in software, and a fragile macro environment.
MongoDB, which is set to report fourth-quarter results on March 5, is projected to post $547 million in revenue, up 19% year-over-year, and EPS of $1.06.
Brokerage noted continued pressure on MongoDB’s cloud database service, Atlas (NYSE:ATCO), which has seen growth slow for 11 consecutive quarters. “No other cloud product unit within our software universe, and Big Tech coverage, has undergone a losing streak as protracted as MongoDB Atlas during this cycle,” analyst said.
Despite macroeconomic uncertainty and competition, the firm acknowledged both companies’ positioning within long-term industry trends.
Related Articles
MCH upgrades Oracle, MongoDB ahead of earnings on cloud, AI growth
Ex-Barclays CEO Staley should be banned over Epstein statements, UK’s FCA says
Kroger ousts long-time CEO after probe into personal conduct
Article originally posted on mongodb google news. Visit mongodb google news
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
MongoDB (NASDAQ:MDB – Get Free Report) was upgraded by analysts at Monness Crespi & Hardt from a “sell” rating to a “neutral” rating in a report issued on Monday,Finviz reports.
Several other analysts also recently issued reports on the company. Citigroup increased their price target on MongoDB from $400.00 to $430.00 and gave the company a “buy” rating in a report on Monday, December 16th. The Goldman Sachs Group increased their target price on MongoDB from $340.00 to $390.00 and gave the company a “buy” rating in a research note on Tuesday, December 10th. Piper Sandler reissued an “overweight” rating and set a $425.00 price target on shares of MongoDB in a research report on Tuesday, December 10th. Rosenblatt Securities began coverage on shares of MongoDB in a research report on Tuesday, December 17th. They issued a “buy” rating and a $350.00 price objective for the company. Finally, Canaccord Genuity Group lifted their price objective on shares of MongoDB from $325.00 to $385.00 and gave the company a “buy” rating in a research note on Wednesday, December 11th. One research analyst has rated the stock with a sell rating, five have issued a hold rating, twenty-three have assigned a buy rating and two have given a strong buy rating to the stock. Based on data from MarketBeat, the company currently has an average rating of “Moderate Buy” and an average price target of $361.00.
View Our Latest Stock Report on MDB
MongoDB Stock Up 1.9 %
Shares of NASDAQ MDB opened at $267.43 on Monday. The stock has a market capitalization of $19.92 billion, a PE ratio of -97.60 and a beta of 1.28. The firm has a fifty day moving average of $262.73 and a 200-day moving average of $275.27. MongoDB has a 52-week low of $212.74 and a 52-week high of $449.12.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its quarterly earnings results on Monday, December 9th. The company reported $1.16 EPS for the quarter, topping the consensus estimate of $0.68 by $0.48. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The company had revenue of $529.40 million during the quarter, compared to analyst estimates of $497.39 million. During the same period in the prior year, the firm posted $0.96 earnings per share. The firm’s revenue was up 22.3% on a year-over-year basis. Equities research analysts expect that MongoDB will post -1.78 EPS for the current fiscal year.
Insider Buying and Selling
In other news, CAO Thomas Bull sold 1,000 shares of the company’s stock in a transaction dated Monday, December 9th. The shares were sold at an average price of $355.92, for a total transaction of $355,920.00. Following the completion of the transaction, the chief accounting officer now owns 15,068 shares in the company, valued at approximately $5,363,002.56. This represents a 6.22 % decrease in their ownership of the stock. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is accessible through the SEC website. Also, CEO Dev Ittycheria sold 8,335 shares of the stock in a transaction dated Friday, January 17th. The stock was sold at an average price of $254.86, for a total transaction of $2,124,258.10. Following the completion of the sale, the chief executive officer now directly owns 217,294 shares in the company, valued at approximately $55,379,548.84. This trade represents a 3.69 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold a total of 47,314 shares of company stock worth $12,525,863 over the last quarter. 3.60% of the stock is owned by company insiders.
Institutional Inflows and Outflows
Several institutional investors and hedge funds have recently bought and sold shares of the company. Norges Bank bought a new stake in shares of MongoDB during the fourth quarter valued at approximately $189,584,000. Jennison Associates LLC raised its position in shares of MongoDB by 23.6% during the 3rd quarter. Jennison Associates LLC now owns 3,102,024 shares of the company’s stock worth $838,632,000 after buying an additional 592,038 shares in the last quarter. Marshall Wace LLP bought a new position in shares of MongoDB in the fourth quarter valued at approximately $110,356,000. Raymond James Financial Inc. acquired a new position in shares of MongoDB during the fourth quarter valued at approximately $90,478,000. Finally, D1 Capital Partners L.P. bought a new stake in MongoDB during the fourth quarter worth approximately $76,129,000. Institutional investors own 89.29% of the company’s stock.
MongoDB Company Profile
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.
Featured Articles
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.
MarketBeat’s analysts have just released their top five short plays for March 2025. Learn which stocks have the most short interest and how to trade them. Enter your email address to see which companies made the list.
Article originally posted on mongodb google news. Visit mongodb google news
MongoDB cofounder Eliot Horowitz raises $30 million Series C for hardware automation … – Fortune
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
© 2025 Fortune Media IP Limited. All Rights Reserved. Use of this site constitutes acceptance of our Terms of Use and Privacy Policy | CA Notice at Collection and Privacy Notice | Do Not Sell/Share My Personal Information
FORTUNE is a trademark of Fortune Media IP Limited, registered in the U.S. and other countries. FORTUNE may receive compensation for some links to products and services on this website. Offers may be subject to change without notice.
Article originally posted on mongodb google news. Visit mongodb google news
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
Oppenheimer & Co. Inc. boosted its holdings in MongoDB, Inc. (NASDAQ:MDB – Free Report) by 93.4% in the fourth quarter, according to the company in its most recent 13F filing with the SEC. The fund owned 9,193 shares of the company’s stock after buying an additional 4,440 shares during the quarter. Oppenheimer & Co. Inc.’s holdings in MongoDB were worth $2,140,000 at the end of the most recent quarter.
Several other hedge funds and other institutional investors have also bought and sold shares of MDB. Hilltop National Bank lifted its holdings in MongoDB by 47.2% during the fourth quarter. Hilltop National Bank now owns 131 shares of the company’s stock valued at $30,000 after purchasing an additional 42 shares in the last quarter. NCP Inc. bought a new stake in shares of MongoDB during the 4th quarter valued at $35,000. Brooklyn Investment Group purchased a new position in shares of MongoDB during the 3rd quarter valued at $36,000. Continuum Advisory LLC boosted its holdings in MongoDB by 621.1% in the 3rd quarter. Continuum Advisory LLC now owns 137 shares of the company’s stock worth $40,000 after buying an additional 118 shares during the period. Finally, Versant Capital Management Inc increased its stake in MongoDB by 1,100.0% in the 4th quarter. Versant Capital Management Inc now owns 180 shares of the company’s stock worth $42,000 after buying an additional 165 shares in the last quarter. Institutional investors own 89.29% of the company’s stock.
Wall Street Analyst Weigh In
A number of research analysts recently commented on MDB shares. Monness Crespi & Hardt cut MongoDB from a “neutral” rating to a “sell” rating and set a $220.00 price target on the stock. in a report on Monday, December 16th. Barclays lowered their target price on shares of MongoDB from $400.00 to $330.00 and set an “overweight” rating on the stock in a report on Friday, January 10th. Canaccord Genuity Group raised their target price on shares of MongoDB from $325.00 to $385.00 and gave the company a “buy” rating in a research note on Wednesday, December 11th. Wells Fargo & Company boosted their price target on shares of MongoDB from $350.00 to $425.00 and gave the stock an “overweight” rating in a research note on Tuesday, December 10th. Finally, Robert W. Baird increased their price objective on shares of MongoDB from $380.00 to $390.00 and gave the company an “outperform” rating in a report on Tuesday, December 10th. Two analysts have rated the stock with a sell rating, four have issued a hold rating, twenty-three have assigned a buy rating and two have issued a strong buy rating to the company. Based on data from MarketBeat, the stock presently has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.
MongoDB Stock Up 1.9 %
MDB stock opened at $267.43 on Monday. MongoDB, Inc. has a 52 week low of $212.74 and a 52 week high of $449.12. The firm has a 50-day simple moving average of $262.73 and a 200-day simple moving average of $275.05. The stock has a market capitalization of $19.92 billion, a P/E ratio of -97.60 and a beta of 1.28.
MongoDB (NASDAQ:MDB – Get Free Report) last posted its quarterly earnings data on Monday, December 9th. The company reported $1.16 EPS for the quarter, topping the consensus estimate of $0.68 by $0.48. The company had revenue of $529.40 million during the quarter, compared to analyst estimates of $497.39 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. MongoDB’s quarterly revenue was up 22.3% on a year-over-year basis. During the same period in the previous year, the business earned $0.96 EPS. On average, analysts expect that MongoDB, Inc. will post -1.78 earnings per share for the current year.
Insiders Place Their Bets
In related news, CAO Thomas Bull sold 1,000 shares of the stock in a transaction that occurred on Monday, December 9th. The stock was sold at an average price of $355.92, for a total value of $355,920.00. Following the completion of the sale, the chief accounting officer now owns 15,068 shares of the company’s stock, valued at approximately $5,363,002.56. This trade represents a 6.22 % decrease in their ownership of the stock. The transaction was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this link. Also, CFO Michael Lawrence Gordon sold 5,000 shares of MongoDB stock in a transaction that occurred on Monday, December 16th. The stock was sold at an average price of $267.85, for a total value of $1,339,250.00. Following the transaction, the chief financial officer now owns 80,307 shares in the company, valued at approximately $21,510,229.95. The trade was a 5.86 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold a total of 47,314 shares of company stock valued at $12,525,863 in the last 90 days. 3.60% of the stock is owned by insiders.
MongoDB Company Profile
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.
See Also
Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDB – Free Report).
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.
Before you consider MongoDB, you’ll want to hear this.
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.
Enter your email address and we’ll send you MarketBeat’s guide to investing in 5G and which 5G stocks show the most promise.
Article originally posted on mongodb google news. Visit mongodb google news
Proficio Capital Partners LLC Makes New $10.14 Million Investment in MongoDB, Inc … – MarketBeat
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
Proficio Capital Partners LLC purchased a new stake in MongoDB, Inc. (NASDAQ:MDB – Free Report) in the fourth quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The fund purchased 43,535 shares of the company’s stock, valued at approximately $10,135,000. Proficio Capital Partners LLC owned approximately 0.06% of MongoDB at the end of the most recent quarter.
Several other institutional investors have also made changes to their positions in MDB. Hilltop National Bank increased its holdings in MongoDB by 47.2% in the 4th quarter. Hilltop National Bank now owns 131 shares of the company’s stock valued at $30,000 after buying an additional 42 shares during the period. Brooklyn Investment Group acquired a new stake in shares of MongoDB during the 3rd quarter worth approximately $36,000. Continuum Advisory LLC increased its stake in MongoDB by 621.1% in the third quarter. Continuum Advisory LLC now owns 137 shares of the company’s stock valued at $40,000 after acquiring an additional 118 shares during the last quarter. NCP Inc. acquired a new position in MongoDB during the fourth quarter valued at approximately $35,000. Finally, Wilmington Savings Fund Society FSB bought a new stake in MongoDB during the third quarter worth $44,000. 89.29% of the stock is currently owned by institutional investors.
Analyst Upgrades and Downgrades
Several brokerages have recently issued reports on MDB. China Renaissance assumed coverage on MongoDB in a research note on Tuesday, January 21st. They issued a “buy” rating and a $351.00 price target on the stock. Monness Crespi & Hardt cut MongoDB from a “neutral” rating to a “sell” rating and set a $220.00 target price on the stock. in a research report on Monday, December 16th. KeyCorp increased their target price on shares of MongoDB from $330.00 to $375.00 and gave the stock an “overweight” rating in a report on Thursday, December 5th. The Goldman Sachs Group lifted their price target on shares of MongoDB from $340.00 to $390.00 and gave the company a “buy” rating in a report on Tuesday, December 10th. Finally, Scotiabank lowered their price objective on shares of MongoDB from $350.00 to $275.00 and set a “sector perform” rating for the company in a research report on Tuesday, January 21st. Two equities research analysts have rated the stock with a sell rating, four have issued a hold rating, twenty-three have assigned a buy rating and two have given a strong buy rating to the company. According to data from MarketBeat.com, MongoDB presently has a consensus rating of “Moderate Buy” and a consensus price target of $361.00.
Read Our Latest Stock Report on MongoDB
MongoDB Trading Up 1.9 %
Shares of MDB opened at $267.43 on Monday. The firm’s fifty day simple moving average is $262.73 and its two-hundred day simple moving average is $275.05. MongoDB, Inc. has a 12 month low of $212.74 and a 12 month high of $449.12. The stock has a market capitalization of $19.92 billion, a P/E ratio of -97.60 and a beta of 1.28.
MongoDB (NASDAQ:MDB – Get Free Report) last announced its earnings results on Monday, December 9th. The company reported $1.16 EPS for the quarter, beating the consensus estimate of $0.68 by $0.48. The company had revenue of $529.40 million for the quarter, compared to analyst estimates of $497.39 million. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The firm’s revenue for the quarter was up 22.3% compared to the same quarter last year. During the same quarter in the prior year, the company earned $0.96 EPS. As a group, research analysts predict that MongoDB, Inc. will post -1.78 EPS for the current fiscal year.
Insider Buying and Selling
In other MongoDB news, CAO Thomas Bull sold 1,000 shares of the firm’s stock in a transaction that occurred on Monday, December 9th. The stock was sold at an average price of $355.92, for a total value of $355,920.00. Following the completion of the sale, the chief accounting officer now owns 15,068 shares of the company’s stock, valued at approximately $5,363,002.56. This trade represents a 6.22 % decrease in their ownership of the stock. The sale was disclosed in a legal filing with the SEC, which is accessible through this hyperlink. Also, insider Cedric Pech sold 287 shares of the company’s stock in a transaction that occurred on Thursday, January 2nd. The stock was sold at an average price of $234.09, for a total value of $67,183.83. Following the transaction, the insider now directly owns 24,390 shares in the company, valued at $5,709,455.10. The trade was a 1.16 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders have sold a total of 47,314 shares of company stock valued at $12,525,863 over the last ninety days. 3.60% of the stock is owned by corporate insiders.
MongoDB Company Profile
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
Want to see what other hedge funds are holding MDB? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for MongoDB, Inc. (NASDAQ:MDB – Free Report).
This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.
Before you consider MongoDB, you’ll want to hear this.
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.
Almost everyone loves strong dividend-paying stocks, but high yields can signal danger. Discover 20 high-yield dividend stocks paying an unsustainably large percentage of their earnings. Enter your email to get this report and avoid a high-yield dividend trap.
Article originally posted on mongodb google news. Visit mongodb google news
Java News Roundup: Stable Values, Spring Modulith, Open Liberty, Quarkus, JReleaser, Gradle
MMS • Michael Redlich
Article originally posted on InfoQ. Visit InfoQ
This week’s Java roundup for February 24th, 2025 features news highlighting: JEP 502, Stable Values (Preview), Proposed to Target for JDK 25; milestone and point releases for Spring Modulith; the February 2025 release of Open Liberty; and the releases of Quarkus 3.19.0, JReleaser 1.17.0 and Gradle 8.13.0.
OpenJDK
JEP 502, Stable Values (Preview), has been elevated from Candidate to Proposed to Target for JDK 25. Formerly known as Computed Constants (Preview), this JEP introduces the concept of computed constants, defined as immutable value holders that are initialized at most once. This offers the performance and safety benefits of final fields, while offering greater flexibility as to the timing of initialization. The review is expected to conclude on March 7, 2025.
JEP 503, Remove the 32-bit x86 Port, has been elevated from its JEP Draft 8345168 to Candidate status. This JEP proposes to “remove the source code and build support for the 32-bit x86 port.” This feature is a follow-up from JEP 501, Deprecate the 32-bit x86 Port for Removal, to be delivered in the upcoming release of JDK 24.
JDK 24
Build 36 remains the current build in the JDK 24 early-access builds. Further details may be found in the release notes.
JDK 25
Build 12 of the JDK 25 early-access builds was also made available this past week featuring updates from Build 11 that include fixes for various issues. More details on this release may be found in the release notes.
For JDK 24 and JDK 25, developers are encouraged to report bugs via the Java Bug Database.
Jakarta EE 11
In his weekly Hashtag Jakarta EE blog, Ivar Grimstad, Jakarta EE Developer Advocate at the Eclipse Foundation, provided an update on Jakarta EE 11 and Jakarta EE 12, writing:
While the work is being wrapped up on the TCK for Jakarta EE 11 Web Profile, the planning for Jakarta EE 12 is entering a new stage. Jared Anderson, in his capacity as the release lead for Jakarta EE 12, has requested the component specifications to come forward with their plans for the release by April 15, 2025. Some of them have already prepared their material for their plan reviews.
The release review for Jakarta NoSQL 1.0 is ongoing (concludes on March 11, 2025).
The road to Jakarta EE 11 included four milestone releases, the release of the Core Profile in December 2024, and the potential for release candidates as necessary before the GA releases of the Web Profile in 1Q 2025 and the Platform in 2Q 2025.
So far, plan reviews for Jakarta EE 12 have been submitted for Jakarta Context and Dependency Injection 5.0, Jakarta Data 1.1 and Jakarta Faces 5.0.
Spring Framework
The second milestone release of Spring Modulith 1.4.0, and service release versions 1.3.3 and 1.2.9, provide bug fixes and dependency upgrades. New features in version 1.4.0-M2 include: new classes, ApplicationModuleIdentifiers and ApplicationModuleMetadata, as abstractions for an ordered collection of application module identifiers and for generated metadata to expose the information required to downstream infrastructure components, respectively; and the ability for an instance of the ApplicationModulesExporter class to expose an ApplicationModuleInitializer interface bean. Further details on these releases may be found in the release notes for version 1.4.0-M2, version 1.3.3 and version 1.2.9.
Quarkus
The release of Quarkus 3.19 ships with bug fixes, dependency upgrades and new features such as: a switch to Red Hat Universal Base Image (UBI) 9 images by default; a new bridge from the current metrics implemented with Micrometer to the OpenTelemetry format; and support for JEP 483, Ahead-of-Time Class Loading & Linking, that will be delivered in the upcoming release of JDK 24. More details on this release may be found in the release notes.
The Quarkus team has also announced resolutions to numerous CVEs affecting the 3.15 and 3.8 release trains that include:
- CVE-2025-24970, a vulnerability in Netty versions 4.1.91.Final through 4.1.117.Final, where a specially crafted packet, received via an instance of the
SslHandlerclass, doesn’t correctly handle validation of such a packet, in all cases, which can lead to a native crash. - CVE-2025-1247, a vulnerability that allows attackers to manipulate request data, impersonate users or access sensitive information due to a flaw in Quarkus REST, an implementation of the Jakarta RESTful Web Services specification, that allows request parameters to leak between concurrent requests if endpoints use field injection without a CDI scope.
- CVE-2025-1634, a flaw in the Quarkus RESTEasy Classic extension that may cause memory leaks when a client request with a low timeout is made. Upon reaching the timeout, a buffer is not released correctly, leading to increased memory usage and eventual application crash due to an
OutOfMemoryError. - CVE-2024-12225, currently embargoed, is related to the callback endpoint in
WebAuthnenabled by default that now requires it to be explicitly configured.
These CVEs are mitigated in Quarkus 3.19.1 and service releases 3.15.3.1 and 3.8.6.1.
Open Liberty
IBM has released version 25.0.0.2 of Open Liberty featuring: support for AES-256 password encryption; a new guide, Building a Dynamic Web Application with Integrated User Interface and Backend Logic; updated guides that include MicroProfile 7.0 and versionless features; and a resolution to CVE-2024-47535, a vulnerability in Netty versions up to and including 4.1.114 that allows an attacker to take advantage of an unsafe read of an environment file in WindowsOS that can lead to a denial of service and application crash.
Apache Software Foundation
Maintaining alignment with Quarkus, the release of Camel Quarkus 3.19.0, composed of Camel 4.10.0 and Quarkus 3.19.0, provides notable changes such as: use of the Quarkus NativeMonitoringBuildItem class to automatically enable native monitoring features; and the removal of the observability services configuration workaround for the /observe endpoint. Further details on this release may be found in the release notes.
Versions 4.0.26 and 3.0.24 of Apache Groovy (announced here and here, respectively) provide bug fixes, dependency upgrades and one improvement that now propagates the Groovy compiler parameter flag to the javac command. More details on this release may be found in the release notes for version 4.0.26 and version 3.0.24.
JReleaser
Version 1.17.0 of JReleaser, a Java utility that streamlines creating project releases, has been released to deliver bug fixes, improvements in documentation, dependency upgrades and new features such as: the ability to parameterize distributions using the new Matrix section; support for publishing -SNAPSHOT extension artifacts with the mavenCentral deployer; and the ability to add a custom Scoop manifest. Further details on this release may be found in the release notes.
Gradle
The release of Gradle 8.13.0 introduces a new auto-provisioning utility that automatically downloads a JVM required by the Gradle Daemon. Other notable enhancements include: an explicit Scala version configuration for the Scala Plugin to automatically resolve required Scala toolchain dependencies; and refined millisecond precision in JUnit XML test event timestamps. More details on this release may be found in the release notes.
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
MongoDB (NASDAQ:MDB – Get Free Report) is projected to announce its earnings results after the market closes on Wednesday, March 5th. Analysts expect the company to announce earnings of $0.64 per share and revenue of $519.65 million for the quarter. Parties interested in participating in the company’s conference call can do so using this link.
MongoDB (NASDAQ:MDB – Get Free Report) last released its earnings results on Monday, December 9th. The company reported $1.16 earnings per share (EPS) for the quarter, topping the consensus estimate of $0.68 by $0.48. The company had revenue of $529.40 million during the quarter, compared to analyst estimates of $497.39 million. MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. The firm’s quarterly revenue was up 22.3% compared to the same quarter last year. During the same period in the prior year, the firm posted $0.96 EPS. On average, analysts expect MongoDB to post $-2 EPS for the current fiscal year and $-2 EPS for the next fiscal year.
MongoDB Trading Up 1.9 %
MongoDB stock opened at $267.43 on Monday. MongoDB has a 12-month low of $212.74 and a 12-month high of $449.12. The firm has a market capitalization of $19.92 billion, a price-to-earnings ratio of -97.60 and a beta of 1.28. The firm has a 50 day moving average of $262.73 and a 200 day moving average of $275.05.
Analysts Set New Price Targets
MDB has been the subject of a number of research reports. Morgan Stanley increased their target price on MongoDB from $340.00 to $350.00 and gave the company an “overweight” rating in a research report on Tuesday, December 10th. Monness Crespi & Hardt lowered MongoDB from a “neutral” rating to a “sell” rating and set a $220.00 price target on the stock. in a research note on Monday, December 16th. Royal Bank of Canada raised their price target on MongoDB from $350.00 to $400.00 and gave the company an “outperform” rating in a research note on Tuesday, December 10th. Rosenblatt Securities started coverage on MongoDB in a research report on Tuesday, December 17th. They set a “buy” rating and a $350.00 price objective on the stock. Finally, The Goldman Sachs Group raised their price target on MongoDB from $340.00 to $390.00 and gave the stock a “buy” rating in a report on Tuesday, December 10th. Two research analysts have rated the stock with a sell rating, four have given a hold rating, twenty-three have given a buy rating and two have given a strong buy rating to the stock. According to MarketBeat.com, the company currently has an average rating of “Moderate Buy” and an average target price of $361.00.
Read Our Latest Analysis on MongoDB
Insider Buying and Selling at MongoDB
In other MongoDB news, Director Hope F. Cochran sold 1,175 shares of the stock in a transaction dated Tuesday, December 17th. The stock was sold at an average price of $266.99, for a total value of $313,713.25. Following the transaction, the director now owns 17,570 shares of the company’s stock, valued at approximately $4,691,014.30. This represents a 6.27 % decrease in their ownership of the stock. The transaction was disclosed in a filing with the SEC, which can be accessed through the SEC website. Also, insider Cedric Pech sold 287 shares of the firm’s stock in a transaction dated Thursday, January 2nd. The stock was sold at an average price of $234.09, for a total value of $67,183.83. Following the sale, the insider now directly owns 24,390 shares in the company, valued at approximately $5,709,455.10. This represents a 1.16 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold 47,314 shares of company stock worth $12,525,863 over the last three months. Company insiders own 3.60% of the company’s stock.
About MongoDB
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.
See Also
Receive News & Ratings for MongoDB Daily – Enter your email address below to receive a concise daily summary of the latest news and analysts’ ratings for MongoDB and related companies with MarketBeat.com’s FREE daily email newsletter.
Article originally posted on mongodb google news. Visit mongodb google news
MMS • RSS
Posted on nosqlgooglealerts. Visit nosqlgooglealerts
IBM announced its intent to buy DataStax, an AI and data solution provider. And DataStax’s technology will enhance IBM’s watsonx portfolio of products accelerating the use of generative AI, helping companies unlock value from vast amounts of unstructured data.
The deal also builds on IBM’s commitment to open-source AI. And DataStax is the creator of AstraDB and DataStax Enterprise, NoSQL and vector database capabilities powered by Apache Cassandra; and Langflow, the open-source tool and community for low-code AI application development.
IBM will continue to support, engage, and innovate with the open-source Apache Cassandra, Langflow, Apache Pulsar, and OpenSearch communities in which DataStax participates. And IBM’s long-standing commitment to open-source AI includes the open-source IBM Granite foundation models and Instruct Lab, a revolutionary approach to advancing true open-source innovation around LLMs.
Businesses struggle to harness valuable, unstructured data from across their business – which is critical for powering generative AI. And without tools to properly ingest and manage this untapped data, costly generative AI projects will fail to deliver their full potential.
IBM is a leader in helping clients scale GenAI and transform their business using enterprise data. The acquisition of DataStax enhances these efforts. Their vector database excels at utilizing unstructured enterprise data and accelerating its time to value, and Langflow offers a graphical, low-code design environment and component orchestration for generative AI apps that facilitates collaboration across diverse skill sets.
1.) AstraDB and DataStax Enterprise offer NoSQL and vector database capabilities powered by Apache Cassandra, enabling production-ready GenAI applications for the enterprise. AstraDB will enhance the existing vector capabilities of IBM watsonx.data, which is IBM’s hybrid open data lakehouse for AI and analytics. Many organizations use Apache Cassandra, including some of the biggest names in software, retail, finance, and e-commerce. Plus, Apache Cassandra offers scalability, availability, fault tolerance, high performance, and multi-data-center and hybrid cloud support. And Apache Cassandra users are leveraging the database for AI workloads. DataStax brings together a mature datastore with vector and graphRAG capabilities – a critical combination for harnessing unstructured data for generative AI
2.) Langflow is a low-code, open-source app builder for RAG and multi-agent AI applications and it is Python-based and model-, API-, and database-agnostic. Langflow brings additional flexible middleware capabilities to IBM watsonx.ai, the integrated, end-to-end AI development studio for building generative AI applications
DataStax’s hundreds of customers include FedEx, Capital One, The Home Depot and Verizon. And DataStax was founded in 2010 and is headquartered in Santa Clara, CA.
The financial details of the transaction were not disclosed. This acquisition is expected to close in the second quarter of 2025, subject to customary closing conditions and regulatory approvals.
KEY QUOTES:
“Businesses cannot realize the full potential of generative AI without the right infrastructure – open-source tools and technologies that empower developers, harness unstructured data, and provide a strong foundation for AI applications. DataStax possesses deep competency in this area and shares IBM’s relentless commitment to simplifying and scaling generative AI for the enterprise.”
- Dinesh Nirmal, Senior Vice President, IBM Software
“Enterprises want to deliver production AI fast, but are still struggling to unlock the value in their data to power AI applications and agents. DataStax’s products solve this problem, accelerating AI’s promise with the scalability, security, and accuracy developers and enterprises need. We’ve long said that there is no AI without data, and are excited to execute this vision with IBM.”
- Chet Kapoor, Chairman and CEO of DataStax
MMS • RSS
Posted on mongodb google news. Visit mongodb google news
Alternative voices on everything from 70’s counterculture to what could be (maybe, possibly, potentially) the most important discovery in human history?
Hello and welcome to the Cloud Database Report. I’m John Foley, a long-time tech journalist, including 18 years at InformationWeek, who then worked in strategic comms at Oracle, IBM, and MongoDB. I invite you to subscribe, share, comment, and connect with me on LinkedIn.
Spring is trying to break through in the New York area, but we still have a few weeks to go. Yesterday I went for a 5-mile hike in 60-degree (Fahrenheit) weather, but not today. As I write this, the “feels like” temp outside is 8 degrees. So today will be a treadmill day.
In the week ahead, I will be traveling to San Francisco for Salesforce’s TDX 2025 developer conference, to hear about tools and strategies for building AI agents. Keep an eye on my X account and LinkedIn page for updates, and I will have full analysis here in the Cloud Database Report.
Meantime, I thought I would share some of what I’ve been reading and hearing. Below are links to sources and headlines that caught my attention recently.
-
I enjoyed Ashlee Vance’s wide-ranging Core Memory podcast with John Markoff. The conversation, between two former New York Times tech reporters, is rich in anecdotes, from the early days of Silicon Valley, where Markoff grew up and continues to be deeply immersed, to Elon Musk, GenAI, and much more. You can listen to the Vance-Markoff audio here, “On Steve Jobs, Drugs, AI, Risk and the Enduring Magic of Silicon Valley”
-
IBM on Feb. 25 announced plans to acquire DataStax, best known for its implementation of Apache Cassandra, a NoSQL database used for big-scale, high-throughput data workloads. Frankly, I have been unimpressed with IBM’s database strategy for some time — not enough innovation — but I’m interested again now that IBM has rehired Ritika Gunnar, who took over in January as GM of Data & AI. I worked with Ritika during my two years at IBM (2018-2020), then she jumped ship to Google Cloud. IBM was smart to bring her back, as Ritika has both the technical know-how and marketing savvy to make IBM databases relevant again. Here’s her blog post on the DataStax deal: “IBM to acquire DataStax, helping clients bring the power of unstructured data to enterprise AI applications”
-
At 80 years old and still with a firm grip on the wheel at Oracle, Larry Ellison has few peers in terms of his industry experience and vision for the future. He recently opined that AI is shaping up to be bigger than the industrial revolution, bigger than electricity, and possibly “the most important discovery in human history.” Cloud Wars’ Bob Evans provides his usual probing analysis of Ellison’s commentary, made in conversation with Tony Blair, the former UK prime minister and now exec chairman of the Tony Blair Institute for Global Change. See the Cloud Wars article, “Oracle’s Larry Ellison on AI: ‘Most Important Discovery in Human History’ ”
-
Mike Olson, former CEO of Cloudera (a Hadoop-based data platform provider) and, before that, a technologist with Oracle and Informix, has launched a social- and politically-oriented blog site with the non-subtle title: Not a Tech Bro. Over the past few weeks, Olson — who embraces the “woke” label — has tackled a handful of thorny topics from his left-leaning POV, including DEI programs, illegal immigration, and last week’s showdown at the Oval Office. A good place to start is Olson’s debut blog post, which provides context: “The genesis post”
More non-traditional sources
I work as a writer/editor for a leading PR & marketing agency, Method Communications, and I’ve been hearing a lot of interest in non-traditional media. They want to know and engage independent bloggers, journalists, and podcasters — people like Ashlee Vance, Alex Kantrowitz, Charlie Guo, Eric Newcomer.
There’s recognition that these self-sufficient publishers have growing influence, from specialized channels like the Cloud Database Report (my audience is in the single-digit thousands) to those like The Pragmatic Engineer with nearly 1 million readers on Substack.
If you’re interested in exploring, see my blog post below for some suggestions.
Article originally posted on mongodb google news. Visit mongodb google news
IBM Granite 3.2 Brings New Vision Language Model, Chain of Thought Reasoning, Improved TimeSeries
MMS • Sergio De Simone
Article originally posted on InfoQ. Visit InfoQ
IBM has introduced its new Granite 3.2 multi-modal and reasoning model. Granite 3.2 features experimental chain-of-thought reasoning capabilities that significantly improve its predecessor’s performance, a new vision language model (VLM) outperforming larger models on several benchmarks, and smaller models for more efficient deployments.
IBM says its Granite 3.2 8B Instruct and Granite 3.2 2B Instruct significantly outperform their 3.1 predecessors thanks to enhanced reasoning capabilities. Instead of providing specialized reasoning models as other companies currently do, IBM chose to include reasoning in their Instruct models as an option that can be toggled on and off depending on the particular task at hand.
One technique IBM is using in Granite 3.2 to build their reasoning capabilities is inference scaling, which is inspired by the idea of letting an LLM generate multiple answers and then pick the best based on some reward model — only, applied to the reasoning process.
In the context of reasoning tasks, this idea of scoring multiple answers to pick the best answer can be applied also to the “chain of thought” that often precedes answer generation. In fact, you don’t need to wait for the entire reasoning to be completed before deciding whether the reasoning was good or not.
IBM’s approach advances the one popularized by DeepSeek, which uses one inference model to measure its own progress by also using a search model to explore the reasoning space. So, the process reward model helps the LLM detect and avoid wrong reasoning turns, while the search algorithm makes the process more flexible.
According to IBM, their inference scaling approach is able to boost performance on the MATH500 and AIME2024 math-reasoning benchmarks and let Granite 3.2 outperform much larger models like GPT-4o-0513 and Claude3.5-Sonnet-1022 for single-pass inference.
Granite 3.2 also includes a VLM particularly aimed at document understanding, named Granite Vision 3.2 2B. According to IBM, this lightweight model rivals larger models on enterprise benchmarks, such as DocVQA and ChartQA, but is not intended to be used as a replacement for text-only Granite models. It was trained using a specific dataset, DocFM, that IBM built on curated enterprise data, including general document images, charts, flowcharts, and diagrams.
Another component of the Granite family is Granite Guardian 3.2, a guardrail model able to detect risks in prompts and responses. Guardian 3.2 provides a similar performance to Guardian 3.1 at greater speed with lower inference costs and memory usage, IBM says. It introduces a new feature, verbalized confidence, to assess the potential risk in a more nuanced way by providing a confidence value.
Guardian 3.2 comes in two variants, Guardian 3.2 5B (down from 8B in Granite 3.1) and Guardian 3.2 3B-A800M, with the added optimization of activating only 800 million parameters out of the total three billion at inference time.
As a final note on Granite 3.2, it is worth mentioning that it brings new timeseries models (TTM) supporting weekly and daily forecasting in addition to the minutely to hourly resolutions already supported by its predecessor.
TTM-R2 models (including the new TTM-R2.1 variants) top all models for point forecasting accuracy as measured by mean absolute scaled error (MASE). TTM-R2 also ranks in the top 5 for probabilistic forecasting, as measured by continuous ranked probability score (CRPS).
In its announcement, IBM does not let go unnoticed that its TTM models are “tiny” in comparison to Google’s TimesFM-2.0 (500M parameters) and Amazon’s Chronos-Bolt-Base (205M parameters), which ranks second and third by MASE.
While IBM’s announcement appeared an impressive feat to some reddit users, others highlighted the fact that their reported performance may look like overfitting a few benchmarks while ignoring others. Still, although it would be naive to think that such small models (8B and 2B parameters) can be preferable to larger models performing much better overall or for complex tasks like coding, it is true that they may be a good fit for more specialized tasks.
Others speculate about the fact that IBM’s offering specifically targets enterprises, where it is important to have legal guarantees in case things go wrong or with potential IP issues with datasets used for training.
All Granite models are licensed under the Apache 2.0 license and available on HuggingFace, watsonx.ai, Ollama, and LM Studio.