Month: April 2024

Posted on mongodb google news. Visit mongodb google news

Black Swift Group LLC bought a new stake in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) during the 4th quarter, according to its most recent disclosure with the Securities and Exchange Commission. The institutional investor bought 10,000 shares of the company’s stock, valued at approximately $4,088,000. MongoDB makes up approximately 1.2% of Black Swift Group LLC’s holdings, making the stock its 19th largest holding.

Other hedge funds also recently added to or reduced their stakes in the company. Raymond James & Associates grew its stake in MongoDB by 32.0% during the 1st quarter. Raymond James & Associates now owns 4,922 shares of the company’s stock valued at $2,183,000 after purchasing an additional 1,192 shares during the last quarter. PNC Financial Services Group Inc. grew its stake in MongoDB by 19.1% during the 1st quarter. PNC Financial Services Group Inc. now owns 1,282 shares of the company’s stock valued at $569,000 after purchasing an additional 206 shares during the last quarter. MetLife Investment Management LLC purchased a new stake in MongoDB during the 1st quarter valued at about $1,823,000. Panagora Asset Management Inc. grew its stake in MongoDB by 9.8% during the 1st quarter. Panagora Asset Management Inc. now owns 1,977 shares of the company’s stock valued at $877,000 after purchasing an additional 176 shares during the last quarter. Finally, Vontobel Holding Ltd. grew its stake in MongoDB by 100.3% during the 1st quarter. Vontobel Holding Ltd. now owns 2,873 shares of the company’s stock valued at $1,236,000 after purchasing an additional 1,439 shares during the last quarter. 89.29% of the stock is owned by institutional investors and hedge funds.

MongoDB Price Performance

NASDAQ:MDB traded down $2.55 during trading hours on Monday, reaching $356.09. 916,801 shares of the company traded hands, compared to its average volume of 1,413,716. The firm’s 50-day moving average is $413.43 and its 200-day moving average is $390.05. The stock has a market cap of $25.70 billion, a P/E ratio of -143.58 and a beta of 1.24. The company has a debt-to-equity ratio of 1.07, a current ratio of 4.40 and a quick ratio of 4.40. MongoDB, Inc. has a 1-year low of $198.72 and a 1-year high of $509.62.

MongoDB (NASDAQ:MDB – Get Free Report) last announced its earnings results on Thursday, March 7th. The company reported ($1.03) EPS for the quarter, missing analysts’ consensus estimates of ($0.71) by ($0.32). The company had revenue of $458.00 million for the quarter, compared to analyst estimates of $431.99 million. MongoDB had a negative net margin of 10.49% and a negative return on equity of 16.22%. Equities research analysts expect that MongoDB, Inc. will post -2.53 earnings per share for the current fiscal year.

Analysts Set New Price Targets

Several research firms have weighed in on MDB. DA Davidson upgraded MongoDB from a “neutral” rating to a “buy” rating and boosted their price target for the company from $405.00 to $430.00 in a research note on Friday, March 8th. Guggenheim increased their target price on MongoDB from $250.00 to $272.00 and gave the company a “sell” rating in a report on Monday, March 4th. JMP Securities reaffirmed a “market outperform” rating and issued a $440.00 price target on shares of MongoDB in a report on Monday, January 22nd. Piper Sandler increased their price objective on MongoDB from $425.00 to $500.00 and gave the stock an “overweight” rating in a research report on Wednesday, December 6th. Finally, Stifel Nicolaus restated a “buy” rating and set a $435.00 price target on shares of MongoDB in a research report on Thursday, March 14th. Two analysts have rated the stock with a sell rating, three have given a hold rating and nineteen have given a buy rating to the company’s stock. According to data from MarketBeat.com, the stock currently has a consensus rating of “Moderate Buy” and a consensus price target of $449.85.

View Our Latest Analysis on MongoDB

Insiders Place Their Bets

In other MongoDB news, CAO Thomas Bull sold 359 shares of the stock in a transaction on Tuesday, January 2nd. The stock was sold at an average price of $404.38, for a total transaction of $145,172.42. Following the transaction, the chief accounting officer now owns 16,313 shares of the company’s stock, valued at approximately $6,596,650.94. The sale was disclosed in a filing with the SEC, which is available at the SEC website. In other MongoDB news, CAO Thomas Bull sold 359 shares of the stock in a transaction on Tuesday, January 2nd. The stock was sold at an average price of $404.38, for a total transaction of $145,172.42. Following the transaction, the chief accounting officer now owns 16,313 shares of the company’s stock, valued at approximately $6,596,650.94. The sale was disclosed in a filing with the SEC, which is available at the SEC website. Also, CEO Dev Ittycheria sold 33,000 shares of the stock in a transaction on Thursday, February 1st. The stock was sold at an average price of $405.77, for a total value of $13,390,410.00. Following the transaction, the chief executive officer now directly owns 198,166 shares in the company, valued at approximately $80,409,817.82. The disclosure for this sale can be found here. Insiders have sold a total of 54,607 shares of company stock valued at $23,116,062 in the last quarter. 4.80% of the stock is currently owned by company insiders.

MongoDB Company Profile

(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.

See Also

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.

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

Posted on mongodb google news. Visit mongodb google news

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

This role can be based in New York City, Austin, or remotely anywhere in the U.S. 

Overview

This role will be a part of the Experimentation team that sits within the Digital & Growth Marketing organization at MongoDB. This individual will leverage their expertise in growth marketing experimentation to guide the team’s stakeholders in the development and execution of effective strategies, tactics, and operating processes that lead to impactful experiment and personalization results across our digital properties and acquisition channels.

Responsibilities include:

• Work directly with Experimentation team and Marketing org to analyze core business problems and challenges, and craft testable solutions that drive impactful improvements and learnings
• Work directly with the Experimentation team and Web Experience teams to source, plan, and execute growth experiments, and multi layered personalization campaigns focused on driving business outcomes in these areas: paid acquisition, organic acquisition, new feature exploration, registration conversion, product activation, monetization, churn reduction
• Collaborate with the various growth, marketing, sales, and product stakeholders to define effective growth strategies that align directly with their goals 
• Lead peers through effective workshops for insight problem discovery and solution ideation  
• Lead cross functional growth efforts across various technical and marketing teams
• Educate peers on core concepts of effective experimentation, such as: user problem discovery, hypothesis writing, and opportunity sizing
• Quickly validate concepts by choosing the cheapest and most effective route to MVP versus over-engineering.
• Once an experiment finishes, oversee the reporting, insights, recommendations and data storytelling process for each
• Communicate the monthly/quarterly progress to internal leadership stakeholders in concise memo format
• Offer ideas and feedback to help grow and scale the experimentation program and it’s capability to deliver impact 

Qualifications & Experience:

• 4+ years of experience managing growth marketing or experimentation programs
• Must be capable of learning new technical concepts quickly, regularly, and be able to communicate with both technical and non-technical stakeholders
• Must have high attention to visual detail, can interpret specifications, can communicate detailed instructions, and can recognize edge cases that need to be addressed
• Experience developing and executing experimentation programs for Growth Marketing teams
• Experience working within an experimentation focused team or pod
• Functional knowledge of A/B and CMAB experimentation approaches 
• Experience with both web and in-product experimentation 
• Knowledge of core statistical principles related to experimentation
• Proficiency in developing frameworks for opportunity discovery and impact sizing to drive effective experimentation motions
• Excellent working knowledge of common analytics platforms, including: Amplitude, Segment, Tableau, Google Analytics 
• Experience building experiments within common CRO platforms such as Optimizely, AB Tasty, VWO
• Familiarity within defining and aiming at quarterly OKRs, or similar approach 
• Experience working fully remotely

Nice to haves:

• Experience building web experiments in Optimizely
• Experience building progressive Personalization campaigns
• Experience building Intellimize experiences
• Experience building Airtable interfaces

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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This week’s Java roundup for March 25th, 2024 features news highlighting: JEP 466, Class-File API (Second Preview), targeted for JDK 23; milestone releases of Jakarta Data and Jakarta NoSQL specifications; the second release candidate for JobRunr 7.0.0; and point releases for Spring projects, Quarkus, Helidon and LangChain4j.

OpenJDK

After its review has concluded, JEP 466, Class-File API (Second Preview), has been promoted from Proposed to Target to Targeted for JDK 23. This JEP proposes a second round of preview to obtain feedback from the previous round of preview: JEP 457, Class-File API (Preview), delivered in JDK 22. This feature provides an API for parsing, generating, and transforming Java class files. This will initially serve as an internal replacement for ASM, the Java bytecode manipulation and analysis framework, in the JDK with plans to have it opened as a public API. Goetz has characterized ASM as “an old codebase with plenty of legacy baggage” and provided background information on how this draft will evolve and ultimately replace ASM.

JDK 23

Build 16 of the JDK 23 early-access builds was made available this past week featuring updates from Build 15 that include fixes for various issues. Further details on this release may be found in the release notes.

Jakarta EE

The fourth milestone release of the Jakarta Data 1.0.0 specification features notable changes such as: removal of the countBy() method from the BasicRepository interface as it was a magical method name query and considered awkward; replace Sort by Sort where appropriate to allow sorting by a member of a super entity; and a new method, elements(), added to the inner Cursor interface, defined in the PageRequest interface, that automatically packages elements as an unmodifiable list. More details on this release may be found in the changelog.

Similarly, the first milestone release of Jakarta NoSQL 1.0.0 specification features notable changes such as: removal of the Document, Key-Value and Column Family APIs as they are now maintained in Jakarta Data; and the addition of new annotations, @MappedSuperclass, @Embeddable, @Inheritance, @DiscriminatorColumn and @DiscriminatorValue for improved support of NoSQL databases. More details on this release may be found in the changelog.

Spring Framework

Spring Cloud 2023.0.1, codenamed Leyton, has been released featuring bug fixes and notable updates to sub-projects: Spring Cloud Kubernetes 3.1.1; Spring Cloud Function 4.1.1; Spring Cloud OpenFeign 4.1.1; Spring Cloud Stream 4.1.1; and Spring Cloud Gateway 4.1.2. This release is based on Spring Boot 3.2.4. More details on this release may be found in the release notes.

The release of Spring for GraphQL 1.2.6 delivers bug fixes, improvements in documentation, dependency upgrades and new features: recommended use of the PERSISTED_QUERY_MARKER field defined in the GraphQL PersistedQuerySupport class to avoid a GraphQL AssertException due to persisted queries that don’t contain standard queries; use either first or after arguments to determine forward pagination in conjunction with the last and before arguments to determine backward pagination. This version will be shipped with the upcoming releases of Spring Boot 3.1.11 and 3.2.5. More details on this release may be found in the release notes.

Quarkus

The release of Quarkus 3.9.1 provides notable changes such as: the new naming strategy for Quarkus reactive extensions; support for OIDC Client JWT Bearer authentication; and an initial release of the new declarative Quarkus WebSockets extension. More details on this release may be found in the changelog.

Helidon

The release of Helidon 3.2.7 features notable changes such as: a replacement of the deprecated the overloaded from() methods, defined in the Multi interface, with corresponding create() methods; and a replacement of the deprecated readTransaction() and writeTransaction() methods, defined in the Neo4j Session interface, with the executeRead() and executeWrite() methods, respectively, in the Neo4jHealthCheck class. More details on this release may be found in the changelog.

Similarly, the of release of Helidon 2.6.7 ships with notable changes such as: a refresh of the MicroProfile Fault Tolerance static method cache upon CDI shutdown; support for disabling security providers through configuration; and a resolution to a NullPointerException from a disable feature in the OidcSupport class. More details on this release may be found in the changelog.

Open Liberty

IBM has released version 24.0.0.3 of Open Liberty featuring: enabling of default verbose garbage collection on IBM Java and IBM Semeru Runtimes; support for back-channel logout on OpenID Connect clients and servers; and a resolution to CVE-2023-50312, a vulnerability in IBM WebSphere Application Server Liberty versions 17.0.0.3 through 24.0.0.2 that could provide weaker-than-expected security for outbound TLS connections caused by a failure to honor user configuration.

Apache Software Foundation

Versions 10.1.20 and 8.5.100 of Apache Tomcat ship with notable changes such as: ensure that the URI, query string and protocol are not corrupted when restoring a saved POST request body after a successful FORM authentication; and align error handling for the Writer and OutputStream classes to ensure the use of either class once the response has been recycled triggers a NullPointerException provided that discardFacades is configured with the default value of true. For the milestone release, the team decided to reduce the minimal Java version to JDK 17. More details on these releases may be found in the release notes for version 10.1.20 and version 8.5.100.

The release of Apache Camel 4.5.0 provides bug fixes, dependency upgrades and new features such as: the creation of new Camel Milvus, Camel Qdrant and Camel AWS Bedrock components to support the Milvus and Qdrant vector databases and AWS Bedrock, respectively; and improved support for the bind command in Camel JBang with the ability to set properties and enhanced error handling. More details on this release may be found in the release notes.

Eclipse Foundation

Versions 4.5.7 and 4.4.9 of Eclipse Vert.x 4.5.7 both deliver notable changes such as: a resolution to CVE-2024-29025, a vulnerability in Netty versions before 4.1.108.Final by which an attacker can send a chunked post consisting of many small fields that will be accumulated, with no limits, in the bodyListHttpData list; and a resolution to Vert.x building its virtual thread factory at runtime with the correct reflection calls. More details on these releases may be found in the release notes for version 4.5.7 and version 4.4.9.

The release of Eclipse JKube 1.16.2 provides notable fixes such as: the addition of a JKubeBuildStrategy field in the WatcherContext class to throw an exception if using a Kubernetes Watch (k8s:watch/k8sWatch) in a buildpacks build strategy; the OpenShift Maven plugin generates a YAML file with a route target port that doesn’t correctly map to the target port causing a Kubernetes pod that is not accessible through the route if the service port is different than the target port. More details on this release may be found in the release notes.

TornadoVM

TornadoVM 1.0.3, the third maintenance release, delivers bug fixes and improvements such as: support for multiple Java threads running different instances of the TornadoVM execution plans; new API extensions to query and apply filters to backends and devices from the TornadoExecutionPlan class; and support for the TornadoNativeArray class data types to obtain memory segments without the header offset. More details on this release may be found in the release notes.

JobRunr

The second release candidate of JobRunr 7.0.0, a library for background processing in Java that is distributed and backed by persistent storage, features bug fixes, enhancements and new features: the ability to configure a shutdown period of BackgroundJobServer class; access to labels via JobContext class; and use of the Spring Data Redis LettuceConnectionFactory class to obtain an instance of the Lettuce RedisClient class. More details on this release, including information about the version 7.0.0 GA release on April 9, 2024, may be found in the release notes.

LangChain4j

Versions 0.29.1 and 0.29.0 of LangChain4j have been released providing notable features such as: advanced retrieval augmented generation (RAG) with Azure AI Search; support for function calling Mistral AI; and a new module to support AWS Anthropic Claude on Bedrock. More details on these releases may be found in the release notes for version 0.29.1 and version 0.29.0.

Java Operator SDK

The release of Java Operator SDK 4.8.2 features: a resolution to pruning issues of fields being delivered from the server by ignoring server-managed fields for server-side apply (SSA) matching; and improved integration tests by increasing the timeout from 20 to 40 minutes. More details on this release may be found in the release notes.

MicroStream

The release of MicroStream 8.1.2 provides code cleaning and adjustment for direct byte buffers in order to avoid possible VM crashes due to a removed check in G1GC in JDK 21.0.2. More details on this release may be found in the release notes.

Posted on mongodb google news. Visit mongodb google news

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

Posted on mongodb google news. Visit mongodb google news

Analysts estimate that the big data sector will expand at a CAGR of 13.5% between 2022 and 2030. By the latter year, the sector’s sales will come in at a huge $745 billion. Moreover, forms of AI such as machine learning can spot patterns across large volumes of data. And these patterns, in turn, can produce insights which enable firms to more effectively recruit customers, develop better products and increase their productivity. Given these points, big data and the companies that can extract it will become increasingly valuable over the longer term. Here are three strong buy big data stocks.

MongoDB (MDB)

Source: Michael Vi / Shutterstock.com

MongoDB (NASDAQ:MDB) has created a popular document-oriented database. The firm charges for its cloud-based database, called Atlas, based on the amount of data which its customers utilize. Moreover, Atlas has become very popular among users of the public cloud, Atlas’ revenue is already growing at an annual clip of nearly 33%. And it already generates 68% of the company’s overall sales.

Given these points, I believe that Atlas’ growth will greatly accelerate in the medium and long-term as the amount of data consumed by cloud users increases exponentially in order to support their use of AI. And the acceleration of Atlas’ gains, in turn, should enable the growth of MongoDB’s top and bottom lines to accelerate a great deal as well, enabling MDB stock to outperform.

MongoDB’s PEG ratio was a reasonably attractive 1.46 times as of January 2024. Given MDB’s rapid growth and attractive valuation, I view the shares as one of the best strong buy big data stocks.

Datadog (DDOG)

Source: Karol Ciesluk / Shutterstock.com

Datadog’s (NASDAQ:DDOG) monitoring and analytics platform for cloud applications enables its customers to analyze large volumes of data from various sources.

On March 14, Bank of America identified DDOG as one of its “bull stocks,” saying that the shares were undergoing a “‘head and shoulders’ bottom breakout” that could take the shares to $172.

Last quarter, the company’s EPS soared 79% year-over-year to 44 cents. Also noteworthy is that its EBITDA came in at $31.7 million, versus an EBITDA loss of $31.6 million in Q4 of 2022. The huge jump indicates that DDOG, like MDB, is beginning to benefit meaningfully from the proliferation of AI.

I expect the latter trend to intensify in the longer term. Supporting that conclusion, DDOG CEO Olivier Pomel recently stated that the utilization of DDOG’s offerings by AI-focused companies is growing quickly.

Oracle (ORCL)

Source: Jonathan Weiss / Shutterstock.com

Database software giant Oracle (NYSE:ORCL) is starting to market AI applications. Specifically, on March 14, the firm unveiled AI tools that will enable its customers to generate data-driven insights. The company correctly noted that with these insights, its customers will be able to improve their businesses. As a result, I believe that the demand for these offerings will be strong.

Also noteworthy is that on March 18 ORCL announced a partnership with Nvidia (NASDAQ:NVDA). Under the deal, the two firms will jointly market Oracle’s AI and cloud offerings, along with Nvidia’s chips and software. Given the huge enthusiasm for Nvidia’s products, the deal should meaningfully increase Oracle’s orders and revenue going forward, as governments and companies will be much more likely to buy Oracle’s systems if they are paired with Nvidia’s products.

Meanwhile, the Street appears to be becoming more upbeat on ORCL stock, as two investment banks recently upgraded the shares in the wake of the company’s Q4 results.

Argus raised its rating on the name to “buy,” citing the firm’s rapidly growing cloud revenue. The company’s cloud infrastructure revenue jumped 49% last quarter versus the same period a year earlier, excluding currency fluctuations. Argus placed a $145 price target on ORCL stock.

Another investment bank, William Blair, raised its rating on the shares to “outperform,” The bank was impressed by the 41% year-over-year increase in the company’s remaining performance obligations, and it expects Oracle’s revenue from AI users to increase meaningfully going forward.

On the date of publication, Larry Ramer did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.

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

Article originally posted on InfoQ. Visit InfoQ

This week’s Java roundup for March 25th, 2024 features news highlighting: JEP 466, Class-File API (Second Preview), targeted for JDK 23; milestone releases of Jakarta Data and Jakarta NoSQL specifications; the second release candidate for JobRunr 7.0.0; and point releases for Spring projects, Quarkus, Helidon and LangChain4j.

OpenJDK

After its review has concluded, JEP 466, Class-File API (Second Preview), has been promoted from Proposed to Target to Targeted for JDK 23. This JEP proposes a second round of preview to obtain feedback from the previous round of preview: JEP 457, Class-File API (Preview), delivered in JDK 22. This feature provides an API for parsing, generating, and transforming Java class files. This will initially serve as an internal replacement for ASM, the Java bytecode manipulation and analysis framework, in the JDK with plans to have it opened as a public API. Goetz has characterized ASM as “an old codebase with plenty of legacy baggage” and provided background information on how this draft will evolve and ultimately replace ASM.

JDK 23

Build 16 of the JDK 23 early-access builds was made available this past week featuring updates from Build 15 that include fixes for various issues. Further details on this release may be found in the release notes.

Jakarta EE

The fourth milestone release of the Jakarta Data 1.0.0 specification features notable changes such as: removal of the countBy() method from the BasicRepository interface as it was a magical method name query and considered awkward; replace Sort by Sort where appropriate to allow sorting by a member of a super entity; and a new method, elements(), added to the inner Cursor interface, defined in the PageRequest interface, that automatically packages elements as an unmodifiable list. More details on this release may be found in the changelog.

Similarly, the first milestone release of Jakarta NoSQL 1.0.0 specification features notable changes such as: removal of the Document, Key-Value and Column Family APIs as they are now maintained in Jakarta Data; and the addition of new annotations, @MappedSuperclass, @Embeddable, @Inheritance, @DiscriminatorColumn and @DiscriminatorValue for improved support of NoSQL databases. More details on this release may be found in the changelog.

Spring Framework

Spring Cloud 2023.0.1, codenamed Leyton, has been released featuring bug fixes and notable updates to sub-projects: Spring Cloud Kubernetes 3.1.1; Spring Cloud Function 4.1.1; Spring Cloud OpenFeign 4.1.1; Spring Cloud Stream 4.1.1; and Spring Cloud Gateway 4.1.2. This release is based on Spring Boot 3.2.4. More details on this release may be found in the release notes.

The release of Spring for GraphQL 1.2.6 delivers bug fixes, improvements in documentation, dependency upgrades and new features: recommended use of the PERSISTED_QUERY_MARKER field defined in the GraphQL PersistedQuerySupport class to avoid a GraphQL AssertException due to persisted queries that don’t contain standard queries; use either first or after arguments to determine forward pagination in conjunction with the last and before arguments to determine backward pagination. This version will be shipped with the upcoming releases of Spring Boot 3.1.11 and 3.2.5. More details on this release may be found in the release notes.

Quarkus

The release of Quarkus 3.9.1 provides notable changes such as: the new naming strategy for Quarkus reactive extensions; support for OIDC Client JWT Bearer authentication; and an initial release of the new declarative Quarkus WebSockets extension. More details on this release may be found in the changelog.

Helidon

The release of Helidon 3.2.7 features notable changes such as: a replacement of the deprecated the overloaded from() methods, defined in the Multi interface, with corresponding create() methods; and a replacement of the deprecated readTransaction() and writeTransaction() methods, defined in the Neo4j Session interface, with the executeRead() and executeWrite() methods, respectively, in the Neo4jHealthCheck class. More details on this release may be found in the changelog.

Similarly, the of release of Helidon 2.6.7 ships with notable changes such as: a refresh of the MicroProfile Fault Tolerance static method cache upon CDI shutdown; support for disabling security providers through configuration; and a resolution to a NullPointerException from a disable feature in the OidcSupport class. More details on this release may be found in the changelog.

Open Liberty

IBM has released version 24.0.0.3 of Open Liberty featuring: enabling of default verbose garbage collection on IBM Java and IBM Semeru Runtimes; support for back-channel logout on OpenID Connect clients and servers; and a resolution to CVE-2023-50312, a vulnerability in IBM WebSphere Application Server Liberty versions 17.0.0.3 through 24.0.0.2 that could provide weaker-than-expected security for outbound TLS connections caused by a failure to honor user configuration.

Apache Software Foundation

Versions 10.1.20 and 8.5.100 of Apache Tomcat ship with notable changes such as: ensure that the URI, query string and protocol are not corrupted when restoring a saved POST request body after a successful FORM authentication; and align error handling for the Writer and OutputStream classes to ensure the use of either class once the response has been recycled triggers a NullPointerException provided that discardFacades is configured with the default value of true. For the milestone release, the team decided to reduce the minimal Java version to JDK 17. More details on these releases may be found in the release notes for version 10.1.20 and version 8.5.100.

The release of Apache Camel 4.5.0 provides bug fixes, dependency upgrades and new features such as: the creation of new Camel Milvus, Camel Qdrant and Camel AWS Bedrock components to support the Milvus and Qdrant vector databases and AWS Bedrock, respectively; and improved support for the bind command in Camel JBang with the ability to set properties and enhanced error handling. More details on this release may be found in the release notes.

Eclipse Foundation

Versions 4.5.7 and 4.4.9 of Eclipse Vert.x 4.5.7 both deliver notable changes such as: a resolution to CVE-2024-29025, a vulnerability in Netty versions before 4.1.108.Final by which an attacker can send a chunked post consisting of many small fields that will be accumulated, with no limits, in the bodyListHttpData list; and a resolution to Vert.x building its virtual thread factory at runtime with the correct reflection calls. More details on these releases may be found in the release notes for version 4.5.7 and version 4.4.9.

The release of Eclipse JKube 1.16.2 provides notable fixes such as: the addition of a JKubeBuildStrategy field in the WatcherContext class to throw an exception if using a Kubernetes Watch (k8s:watch/k8sWatch) in a buildpacks build strategy; the OpenShift Maven plugin generates a YAML file with a route target port that doesn’t correctly map to the target port causing a Kubernetes pod that is not accessible through the route if the service port is different than the target port. More details on this release may be found in the release notes.

TornadoVM

TornadoVM 1.0.3, the third maintenance release, delivers bug fixes and improvements such as: support for multiple Java threads running different instances of the TornadoVM execution plans; new API extensions to query and apply filters to backends and devices from the TornadoExecutionPlan class; and support for the TornadoNativeArray class data types to obtain memory segments without the header offset. More details on this release may be found in the release notes.

JobRunr

The second release candidate of JobRunr 7.0.0, a library for background processing in Java that is distributed and backed by persistent storage, features bug fixes, enhancements and new features: the ability to configure a shutdown period of BackgroundJobServer class; access to labels via JobContext class; and use of the Spring Data Redis LettuceConnectionFactory class to obtain an instance of the Lettuce RedisClient class. More details on this release, including information about the version 7.0.0 GA release on April 9, 2024, may be found in the release notes.

LangChain4j

Versions 0.29.1 and 0.29.0 of LangChain4j have been released providing notable features such as: advanced retrieval augmented generation (RAG) with Azure AI Search; support for function calling Mistral AI; and a new module to support AWS Anthropic Claude on Bedrock. More details on these releases may be found in the release notes for version 0.29.1 and version 0.29.0.

Java Operator SDK

The release of Java Operator SDK 4.8.2 features: a resolution to pruning issues of fields being delivered from the server by ignoring server-managed fields for server-side apply (SSA) matching; and improved integration tests by increasing the timeout from 20 to 40 minutes. More details on this release may be found in the release notes.

MicroStream

The release of MicroStream 8.1.2 provides code cleaning and adjustment for direct byte buffers in order to avoid possible VM crashes due to a removed check in G1GC in JDK 21.0.2. More details on this release may be found in the release notes.

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Pacer Advisors Inc. raised its holdings in shares of MongoDB, Inc. (NASDAQ:MDB – Free Report) by 1,400.8% in the 4th quarter, according to its most recent 13F filing with the SEC. The fund owned 3,632 shares of the company’s stock after acquiring an additional 3,390 shares during the period. Pacer Advisors Inc.’s holdings in MongoDB were worth $1,485,000 at the end of the most recent reporting period.

A number of other large investors have also made changes to their positions in MDB. Raymond James & Associates increased its position in shares of MongoDB by 32.0% in the 1st quarter. Raymond James & Associates now owns 4,922 shares of the company’s stock valued at $2,183,000 after buying an additional 1,192 shares in the last quarter. PNC Financial Services Group Inc. boosted its stake in MongoDB by 19.1% in the 1st quarter. PNC Financial Services Group Inc. now owns 1,282 shares of the company’s stock worth $569,000 after purchasing an additional 206 shares during the period. MetLife Investment Management LLC acquired a new position in MongoDB in the 1st quarter worth $1,823,000. Panagora Asset Management Inc. boosted its stake in MongoDB by 9.8% in the 1st quarter. Panagora Asset Management Inc. now owns 1,977 shares of the company’s stock worth $877,000 after purchasing an additional 176 shares during the period. Finally, Vontobel Holding Ltd. boosted its stake in MongoDB by 100.3% in the 1st quarter. Vontobel Holding Ltd. now owns 2,873 shares of the company’s stock worth $1,236,000 after purchasing an additional 1,439 shares during the period. Institutional investors own 89.29% of the company’s stock.

MongoDB Stock Down 0.0 %

MongoDB stock opened at $358.64 on Monday. The stock has a market cap of $25.89 billion, a P/E ratio of -144.61 and a beta of 1.24. The company’s 50-day moving average price is $414.58 and its two-hundred day moving average price is $390.12. The company has a quick ratio of 4.40, a current ratio of 4.40 and a debt-to-equity ratio of 1.07. MongoDB, Inc. has a twelve month low of $198.72 and a twelve month high of $509.62.

MongoDB (NASDAQ:MDB – Get Free Report) last issued its quarterly earnings results on Thursday, March 7th. The company reported ($1.03) EPS for the quarter, missing analysts’ consensus estimates of ($0.71) by ($0.32). The business had revenue of $458.00 million for the quarter, compared to analyst estimates of $431.99 million. MongoDB had a negative return on equity of 16.22% and a negative net margin of 10.49%. As a group, analysts expect that MongoDB, Inc. will post -2.53 EPS for the current year.

Analyst Ratings Changes

A number of equities analysts recently weighed in on the stock. KeyCorp upped their target price on shares of MongoDB from $500.00 to $543.00 and gave the stock an “overweight” rating in a research note on Wednesday, February 14th. JMP Securities restated a “market outperform” rating and set a $440.00 price objective on shares of MongoDB in a research note on Monday, January 22nd. Citigroup increased their price objective on shares of MongoDB from $515.00 to $550.00 and gave the stock a “buy” rating in a research note on Wednesday, March 6th. UBS Group restated a “neutral” rating and set a $410.00 price objective (down from $475.00) on shares of MongoDB in a research note on Thursday, January 4th. Finally, Guggenheim increased their price objective on shares of MongoDB from $250.00 to $272.00 and gave the stock a “sell” rating in a research note on Monday, March 4th. Two equities research analysts have rated the stock with a sell rating, three have assigned a hold rating and nineteen have issued a buy rating to the company. According to data from MarketBeat, MongoDB currently has a consensus rating of “Moderate Buy” and a consensus target price of $449.85.

Get Our Latest Analysis on MongoDB

Insider Buying and Selling

In related news, CRO Cedric Pech sold 1,248 shares of MongoDB stock in a transaction on Tuesday, January 16th. The shares were sold at an average price of $400.00, for a total transaction of $499,200.00. Following the completion of the transaction, the executive now owns 25,425 shares of the company’s stock, valued at $10,170,000. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available through this link. In other MongoDB news, Director Dwight A. Merriman sold 1,000 shares of MongoDB stock in a transaction on Monday, January 22nd. The shares were sold at an average price of $420.00, for a total value of $420,000.00. Following the completion of the sale, the director now directly owns 528,896 shares of the company’s stock, valued at $222,136,320. The transaction was disclosed in a legal filing with the SEC, which is available at the SEC website. Also, CRO Cedric Pech sold 1,248 shares of the business’s stock in a transaction dated Tuesday, January 16th. The stock was sold at an average price of $400.00, for a total transaction of $499,200.00. Following the sale, the executive now directly owns 25,425 shares of the company’s stock, valued at $10,170,000. The disclosure for this sale can be found here. Insiders sold 54,607 shares of company stock valued at $23,116,062 over the last quarter. Insiders own 4.80% of the company’s stock.

MongoDB Profile

(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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