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Spring Data

Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond
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What is Spring Data?

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.
Spring Data is a tool in the Database Tools category of a tech stack.
Spring Data is an open source tool with 85 GitHub stars and 80 GitHub forks. Here’s a link to Spring Data's open source repository on GitHub

Who uses Spring Data?

56 companies reportedly use Spring Data in their tech stacks, including deleokorea, Groww, and Craftbase.

425 developers on StackShare have stated that they use Spring Data.

Spring Data Integrations

MongoDB, Redis, Spring MVC, ArangoDB, and Xen are some of the popular tools that integrate with Spring Data. Here's a list of all 5 tools that integrate with Spring Data.
Decisions about Spring Data

Here are some stack decisions, common use cases and reviews by companies and developers who chose Spring Data in their tech stack.

Остап Комплікевич

I need some advice to choose an engine for generation web pages from the Spring Boot app. Which technology is the best solution today? 1) JSP + JSTL 2) Apache FreeMarker 3) Thymeleaf Or you can suggest even other perspective tools. I am using Spring Boot, Spring Web, Spring Data, Spring Security, PostgreSQL, Apache Tomcat in my project. I have already tried to generate pages using jsp, jstl, and it went well. However, I had huge problems via carrying already created static pages, to jsp format, because of syntax. Thanks.

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Spring Data's Features

  • Powerful repository
  • Custom object-mapping abstractions
  • Dynamic query derivation

Spring Data Alternatives & Comparisons

What are some alternatives to Spring Data?
Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
Spring Boot
Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
Spring Batch
It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.
It implements the active record pattern. Its purpose is to be both relational and object oriented by providing a domain-specific language to construct queries from classes generated from a database schema.
See all alternatives

Spring Data's Followers
406 developers follow Spring Data to keep up with related blogs and decisions.