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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.
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
Spring Data Commons - Core Spring concepts underpinning every Spring Data module.
Spring Data JDBC - Spring Data repository support for JDBC.
Spring Data R2DBC - Spring Data repository support for R2DBC.
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 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 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 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: