Spring Data’s mission is to provide a familiar and consistent, Spring-based programming model for data access while still retaining the special traits of the underlying data store.

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database. The projects are developed by working together with many of the companies and developers that are behind these exciting technologies.

Features

• Powerful repository and custom object-mapping abstractions

• Dynamic query derivation from repository method names

• Implementation domain base classes providing basic properties

• Support for transparent auditing (created, last changed)

• Possibility to integrate custom repository code

• Easy Spring integration via JavaConfig and custom XML namespaces

• Advanced integration with Spring MVC controllers

• Experimental support for cross-store persistence

Main modules

• Spring Data Commons - Core Spring concepts underpinning every Spring Data module.

• Spring Data JDBC - Spring Data repository support for JDBC.

• Spring Data JDBC Ext - Support for database specific extensions to standard JDBC including support for Oracle RAC fast connection failover, AQ JMS support and support for using advanced data types.

• Spring Data JPA - Spring Data repository support for JPA.

• Spring Data KeyValue - Map based repositories and SPIs to easily build a Spring Data module for key-value stores.

• Spring Data LDAP - Spring Data repository support for Spring LDAP.

• Spring Data MongoDB - Spring based, object-document support and repositories for MongoDB.

• Spring Data Redis - Easy configuration and access to Redis from Spring applications.

• Spring Data REST - Exports Spring Data repositories as hypermedia-driven RESTful resources.

• Spring Data for Apache Cassandra - Easy configuration and access to Apache Cassandra or large scale, highly available, data oriented Spring applications.

• Spring Data for Apache Geode - Easy configuration and access to Apache Geode for highly consistent, low latency, data oriented Spring applications.

• Spring Data for VMware Tanzu GemFire - Easy configuration and access to Pivotal GemFire for your highly consistent, low latency/high through-put, data-oriented Spring applications.

Community modules

• Spring Data Aerospike - Spring Data module for Aerospike.

• Spring Data ArangoDB - Spring Data module for ArangoDB.

• Spring Data Couchbase - Spring Data module for Couchbase.

• Spring Data Azure Cosmos DB - Spring Data module for Microsoft Azure Cosmos DB.

• Spring Data Cloud Datastore - Spring Data module for Google Datastore.

• Spring Data Cloud Spanner - Spring Data module for Google Spanner.

• Spring Data DynamoDB - Spring Data module for DynamoDB.

• Spring Data Elasticsearch - Spring Data module for Elasticsearch.

• Spring Data Hazelcast - Provides Spring Data repository support for Hazelcast.

• Spring Data Jest - Spring Data module for Elasticsearch based on the Jest REST client.

• Spring Data Neo4j - Spring-based, object-graph support and repositories for Neo4j.

• Oracle NoSQL Database SDK for Spring Data - Spring Data module for Oracle NoSQL Database and Oracle NoSQL Cloud Service.

• Spring Data for Apache Solr - Easy configuration and access to Apache Solr for your search-oriented Spring applications.

• Spring Data Vault - Vault repositories built on top of Spring Data KeyValue.

• Spring Data YugabyteDB - Spring Data module for YugabyteDB distributed SQL database.

Related modules

• Spring Data JDBC Extensions - Provides extensions to the JDBC support provided in the Spring Framework.

• Spring for Apache Hadoop - Simplifies Apache Hadoop by providing a unified configuration model and easy to use APIs for using HDFS, MapReduce, Pig, and Hive.

• Spring Content - Associate content with your Spring Data Entities and store it in a number of different stores including the File-system, S3, Database or Mongo’s GridFS.

Modules in Incubation

• Spring Data R2DBC - Spring Data support for R2DBC.

Release train

Spring Data is an umbrella project consisting of independent projects with, in principle, different release cadences. To manage the portfolio, a BOM (Bill of Materials - see this example) is published with a curated set of dependencies on the individual project. The release trains have names, not versions, to avoid confusion with the sub-projects.

The names are an alphabetic sequence (so you can sort them chronologically) with names of famous computer scientists and software developers. When point releases of the individual projects accumulate to a critical mass, or if there is a critical bug in one of them that needs to be available to everyone, the release train will push out “service releases” with names ending “-SRX”, where “X” is a number.

Currently, the release train contains the following modules:

• Spring Data Commons

• Spring Data JPA

• Spring Data KeyValue

• Spring Data LDAP

• Spring Data MongoDB

• Spring Data Redis

• Spring Data REST

• Spring Data for Apache Cassandra

• Spring Data for Apache Geode

• Spring Data for Apache Solr

• Spring Data for Pivotal GemFire

• Spring Data Couchbase (community module)

• Spring Data Elasticsearch (community module)

• Spring Data Neo4j (community module)