Spring Data2024.1.5

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 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 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.

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 Reindexer - Spring Data module for the Reindexer database.
• Spring Data Vault - Vault repositories built on top of Spring Data KeyValue.
• Spring Data YugabyteDB - Spring Data module for YugabyteDB distributed SQL database.

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 follow Calver versioning.

Currently, the release train contains the following modules:

• Spring Data Commons
• Spring Data JPA
• Spring Data JDBC/R2DBC
• 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 Couchbase (community module)
• Spring Data Elasticsearch (community module)
• Spring Data Neo4j (community module)