Spring Data

Spring Data는 데이터베이스 관련 많은 하위 프로젝트를 포함하는 오픈 소스 프로젝트로, non-relational databases, map-reduce frameworks, and cloud based data services 등의 새로운 데이터 액세스 기술을 보다 쉽게 사용 할 수 있는 기능을 제공한다. 또한 관계형 데이터베이스 기술에 대한 향상된 지원도 제공한다.

Spring Data Project

Category	Sub-Project	Description
Relational Databases	JPA	Spring Data JPA - Simplifies the development of creating a JPA-based data access layer
	JDBC Extensions	Support for Oracle RAC, Advanced Queuing, and Advanced datatypes. Support for using QueryDSL with JdbcTemplate.
Big Data	Apache Hadoop	The Apache Hadoop project is an open-source implementation of frameworks for reliable, scalable, distributed computing and data \storage.
Data-Grid	GemFire	VMware vFabric GemFire is a distributed data management platform providing dynamic scalability, high performance, and database-like \persistence. It blends advanced techniques like replication, partitioning, data-aware routing, and continuous querying.
HTTP	REST	Spring Data REST - Perform CRUD operations of your persistence model using HTTP and Spring Data Repositories.
Key Value Stores	Redis	Redis is an open source, advanced key-value store.
Document Stores	MongoDB	MongoDB is a scalable, high-performance, open source, document-oriented database.
Graph Databases	Neo4j	Neo4j is a graph database, a fully transactional database that stores data structured as graphs.
Column Stores	HBase	Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google’ Bigtable. HBase functionality is part of the Spring for Apache Hadoop project.
Common Infrastructure	Commons	Provides shared infrastructure for use across various data access projects. General support for cross-database persistence is located here

참고자료