The Spring Data team has just released the second service release for the Babbage release train. It includes the following modules:

• Spring Data Commons 1.6.3 - Changelog - JavaDoc - Artifacts
• Spring Data JPA 1.4.3 - Changelog - JavaDoc - Artifacts
• Spring Data MongoDB 1.3.3 - Changelog - JavaDoc - Artifacts
• Spring Data Neo4j 2.3.3 - Changelog - JavaDoc - Artifacts

The release bundles a bunch of important enhancements and bug fixes and is a recommended upgrade. You can find all issues fixed in this release in our JIRA.

The next step will be the second milestone of the Codd release train. More details about that here…

Spring 4.0 RC2 has been released and is now available from the SpringSource repository.

This will be the final release candidate before GA, so please give it a try and let us know if you find any issues.

If you are Maven user you may be interested in the new "bill of materials" POM that we have published with this release. You can import the spring-framework-bom project in your dependency management section to ensure that you get consistent Spring Framework dependencies. This is particularly useful when you work with other projects that may have transitive dependencies to earlier versions of…

We are extremely pleased to announce that Spring Integration 3.0.0.RC1 is now available in the Spring Milestone Repo

This release uses Spring Framework 3.2.5 by default but is also compatible with Spring 3.1.x and 4.0.x.

The release notes, showing changes since milestone 3, are available here.

##First, a Note About Spring Framework 4 Support

Spring Framework 4.0 has a new spring-messaging module that contains a number of key abstractions from Spring Integration.

Spring Integration 3, while being compatible with Spring Framework 4, does not depend on it, and does not use these classes, so that it can also be used with Spring Framework 3.2 and 3.1.

…

We are pleased to announce that Spring Batch 2.2.3.RELEASE is now available via Maven Central, Github and the SpringSource download repository. This is the 3rd maintenance release for the 2.2.x branch of Spring Batch and addresses a number of bugs and documentation updates. Many thanks to all of those who submitted the many pull requests that went into this release.

Spring Batch Home | Source on GitHub | Reference Documentation

We look forward to your feedback in the forum and issue tracker.

I am happy to announce the first milestone of the next Spring Data release train named Codd. We welcome two new members to the train: the Spring Data Solr community project as well as Spring Data REST. We've fixed 109 tickets for this first milestone. The full list of participating modules looks as follows:

• Spring Data Build 1.3 M1 - Changelog
• Spring Data Commons 1.7 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data JPA 1.5 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data MongoDB 1.4 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Neo4j 3.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data Solr 1.1 M1 - Artifacts - JavaDoc - Documentation - Changelog
• Spring Data REST 2.0 M1 - Artifacts - JavaDoc - Documentation - Changelog
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On behalf of module lead Michael Nitschinger, I am pleased to announce the availability of milestone two of the Spring Data module for Couchbase.

This new release brings both feature enhancements and bugfixes, taking the library full steam to a release candidate soon. Highlights of this release are custom @View annotations on repository finder methods and better marshaling support for dates, enums and class types. Also, the underlying Couchbase Java Client has been updated to the latest 1.2.2 versions, bringing better rebalance stability and performance improvements. This M2 release is available from the Spring IO milestone repository…

We are happy to announce the Spring for Apache Hadoop 1.0.2 GA and 2.0 M2 milestone releases.

Both of these releases provide bug fixes, upgraded Spring project versions and support for the new Pivotal HD 1.1 release. The 1.0.2 release adds support for the new Hadoop 2.2 stable release. The 2.0.0.M2 release provides support for CDH4 YARN clusters and an improved implementation for the HdfsResourceLoader (this implementation will be back-ported to the next 1.0.3 GA release).

We continue to provide version specific artifacts with their respective transitive dependencies in the Spring IO milestone…

The Spring XD team is pleased to announce that Spring XD 1.0.0 Milestone 4 is now available for download.

Spring XD makes it easy to solve common big data problems such as data ingestion and export, real-time analytics, and batch workflow orchestration. This release includes several notable new features:

• Batch Processing UI
• Improved Type Conversion
• Composite Modules
• Improved DSL parsing and Tap functionality (Note: breaking syntax change)
• New sources: Reactor based syslog, tcp-client
• Expression based processors can invoke a pre-registered JSON Path function.
• Pre-defined Batch jobs for HDFS to JDBC, HDFS to MongoDB, Files to HDFS, and Files to JDBC
• New commands for listing available modules and their definition.
• Deployment Scripts for EC2 in new project.
• Support for Pivotal HD 1.1
• Shell access to HDFS via WebHDFS protocol
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I'm happy to announce that Reactor, a powerful foundational library for building reactive, fast data applications on the JVM has reached GA!

What is Reactor and why should I care?

Reactor provides the necessary abstractions to build high-throughput, low-latency--what we now call "fast data"--applications that absolutely must work with thousands, tens of thousands, or even millions of concurrent requests per second.

You should care about Reactor because modern applications with non-human consumers--like mobile phones and the apps that run on them--generate more data than traditional thread-per…