Dear Spring Community, I am pleased to announce the release of Spring for Apache Hadoop 1.0 M2:

Downloads | JavaDocs | Reference Documentation | Changelog

The Spring for Apache Hadoop features include support for:

• DAO support (Template & Callbacks) for HBase
• Cascading Taps for Spring & Spring Integration
• Support for Hadoop Security
• Enhanced Map/Reduce support
• Two New Samples (hbase-crud and pig-scripting)

For more information on this release of Spring for Apache Hadoop, see this blog entry or the reference documentation.

Speaking of announcements, Project Serengeti was announced today. See Richard McDougall's blog post for more information.

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

Dear Spring Community,

I am pleased to announce the GA release of Spring GemFire 1.1.1 project is now available!

Downloads | JavaDocs | Reference Documentation | Changelog

To learn more about the project, visit the Spring GemFire Homepage.

1.1.1 is mainly a maintenance release providing several enhancements on the configuration front. See the changelog for more details.

Dear Spring Community,

I am pleased to announce that the first milestone of the Spring GemFire 1.2 project for Java is now available!

Downloads | JavaDocs | Reference Documentation | Changelog

This new milestone introduces:

• POJO mapping
• Repository support

For more information see the reference documentation.

Looking forward to your feedback!

I am happy to announce that the first milestone release (1.0.0.M1) for Spring for Apache Hadoop project is available and talk about some of the work we have been doing over the last few months. Part of the Spring Data umbrella, Spring for Apache Hadoop provides support for developing applications based on Apache Hadoop technologies by leveraging the capabilities of the Spring ecosystem. Whether one is writing stand-alone, vanilla MapReduce applications, interacting with data from multiple data stores across the enterprise, or coordinating a complex workflow of HDFS, Pig, or Hive jobs, or…

Dear Spring Community, I am pleased to announce the release of Spring for Apache Hadoop 1.0 M1:

Downloads | JavaDocs | Reference Documentation | Changelog

The Spring for Apache Hadoop features include support for:

• Apache Hadoop configuration
• MapReduce, Streaming Jobs and Tool
• HBase configuration
• Hive server and thrift client
• Pig configuration
• Embedded API for Apache Hadoop FsShell and DistCp
• JSR-223/javax.scripting for HDFS interaction
• Spring Batch tasklets for vanilla Apache Hadoop, Hive, Pig

For a quick introduction to Spring for Apache Hadoop, see this blog entry or the reference documentation.

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

Dear Spring Community,

We are pleased to announce the GA release of Spring GemFire 1.1 project is now available! The Spring GemFire project aims to make it easier to build Spring-powered highly scalable applications using GemFire as distributed data management platform.

Downloads | JavaDocs | Reference Documentation | Changelog

The 1.1 release updates include:

• Aligned Maven naming to Spring Data conventions (new ids are 'org.springframework.data'/'spring-data-gemfire')
• Introduced PDX attributes on cache and client-cache namespace
• Upgraded to Spring Framework 3.1 GA
• Dedicated support for indecies
• Improved region creation
• Dedicated support for Continuous Query (Message Driven POJOs for GemFire)
• Extensive client cache support
• Namespace support for region expiration
• Native support for the upcoming GemFire 6.6
• CacheServer support
• GemFire implementation for Spring 3.1 cache abstraction
• Support for queries with variable parameters

To learn more about the project, visit the Spring GemFire homepage.

Download it now: Spring GemFire for Java | Spring GemFire for .NET

We look forward to your feedback!

P.S. Please use maven.springframework.org/release while Maven…

Dear Spring Community, I am pleased to announce the very first GA release of the Spring Data Redis 1.0 project is now available!

Downloads | JavaDocs | Reference Documentation | Changelog

The Spring Data Redis features include:

• Connection package as low-level abstraction across multiple drivers
• Configuration support for Redis Jedis, JRedis and RJC drivers/connectors
• Exception translation to Spring's portable Data Access exception hierarchy for Redis driver exception
• Generified RedisTemplate for exception translation and serialization support
• Jdk, JSON and Spring Object/XML mapping object and hash serializers
• Spring 3.1 cache abstraction implementation for Redis
• Pub-Sub support (such as a MessageListenerContainer for message-driven POJOs)
• Sorting and Pipelining functionality
• Dedicated support for SORT, SORT/GET pattern and returned bulk values
• Atomic counters and JDK Collection implementations on top of Redis

See Spring Data Redis in action through the live RetwisJ sample, a Twitter-clone (deployed in CloudFoundry) based entirely on Redis that showcases the various features of Spring Data Redis.

Additionally, learn about Redis and Spring Data Redis in a dedicated webinar by Salvatore Sanfilippo (Redis author) and Costin Leau (Spring Data Redis lead):

We look forward to your feedback on the forum or in the issue tracker…

Dear Spring Community, We are pleased to announce the first release candidate of the Spring GemFire 1.1 project is now available! The Spring GemFire project aims to make it easier to build Spring-powered highly scalable applications using GemFire as distributed data management platform.

The updates in this release include:

• Aligned Maven naming to Spring Data conventions (new ids are org.springframework.data/spring-data-gemfire)
• Introduced PDX attributes on cache and client-cache namespace
• Upgrade to GemFire 6.6.1

Download it now: Spring GemFire for Java | Spring GemFire for .NET

We look forward to your feedback!

Dear Spring Community,

I am pleased to announce the first release candidate of the Spring Data Redis 1.0 project is now available!

Downloads | JavaDocs | Reference Documentation | Changelog

This release features several fixes and improvements such as:

• Upgrade to Spring 3.1 RC1
• Improved JDK 5 compatibility
• Improved Spring 3.1 cache abstraction on top of Redis

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

Dear Spring Community,

We are pleased to announce the first milestone release of the Spring GemFire 1.1 project is now available! The Spring GemFire project aims to make it easier to build Spring-powered highly scalable applications using GemFire as distributed data management platform.

The new milestone updates include:

• Native support for the upcoming GemFire 6.6
• CacheServer support
• GemFire implementation for Spring 3.1 cache abstraction
• Support for queries with variable parameters

To learn more about the project, visit the Spring GemFire homepage.

Download it now: Spring GemFire for Java | Spring GemFire for .NET

We look forward to your feedback!