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Spring Data vs RDBTools: What are the differences?

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; RDBTools: A cross-platform GUI for Redis. It is a cross-platform GUI for Redis, with a focus on reducing memory usage and improving application performance.

Spring Data and RDBTools can be primarily classified 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, RDBTools provides the following key features:

  • CRUD Operations
  • Memory Analysis
  • Redis Cluster Support

Spring Data is an open source tool with 61 GitHub stars and 64 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.

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What is RDBTools?

It is a cross-platform GUI for Redis, with a focus on reducing memory usage and improving application performance.

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.

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What companies use RDBTools?
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    What tools integrate with RDBTools?
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    What are some alternatives to RDBTools and Spring Data?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives