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Spring Data vs Lettuce.io: What are the differences?
What is Spring Data? Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond. 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.
What is Lettuce.io? Advanced Java Redis client for thread-safe sync, async, and reactive usage. Supports Cluster, Sentinel, Pipelining, and codecs. It is a scalable thread-safe Redis client for synchronous, asynchronous and reactive usage. Multiple threads may share one connection if they avoid blocking and transactional operations such as BLPOP and MULTI/EXEC. Lettuce is built with netty. Supports advanced Redis features such as Sentinel, Cluster, Pipelining, Auto-Reconnect and Redis data models.
Spring Data and Lettuce.io can be categorized as "Database" tools.
Some of the features offered by Spring Data are:
- Powerful repository
- Custom object-mapping abstractions
- Dynamic query derivation
On the other hand, Lettuce.io provides the following key features:
- synchronous, asynchronous and reactive usage
- Redis Sentinel
- Redis Cluster
Spring Data is an open source tool with 65 GitHub stars and 67 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.