Hot on the heels of the Spring 3.2.9 and 4.0.5 releases, I am pleased to announce the availability of the GA release of the Spring Data release train named Dijkstra.

We’re happy to welcome 5 new modules to the release train: Elasticsearch, Cassandra, Couchbase, Gemfire and Redis. Two of them even celebrate their first GA version ever. So I’d like to send special congratulations and thanks to the project leads Mohsin Husen for Spring Data Elasticsearch and David Webb as well as Matthew Adams for Spring Data Cassandra.

Here’s the full list of participating modules:

Spring Data Commons 1.8 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data JPA 1.6 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data MongoDB 1.5 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Neo4j 3.1 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Solr 1.2 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Couchbase 1.1 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Cassandra 1.0 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Elasticsearch 1.0 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Gemfire 1.4 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data Redis 1.3 GA - Artifacts - JavaDocs - Documentation - Changelog

Spring Data REST 2.1 GA - Artifacts - JavaDocs - Documentation - Changelog

The home stretch to GA allowed us to fix 55 tickets which leaves us with 379 tickets fixed and implemented for Dijkstra overall. Find a curated change log for the release train in our wiki. This blog post walks you through the most relevant new additions to the release train.

We’re going to drop one or two more services releases for the previous train named Codd and then concentrate on the first milestone of the next train iteration which will be named Evans.