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Redsmin

10
28
+ 1
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Spring Data

601
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+ 1
0
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Redsmin vs Spring Data: What are the differences?

Redsmin: All-in-one fully featured GUI for Redis. Redsmin is an all-in-one GUI for Redis, a tightly crafted developer oriented, online real-time monitoring and administration service for Redis; 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.

Redsmin and Spring Data can be categorized as "Database" tools.

Some of the features offered by Redsmin are:

  • Cross-platform, works everywhere inside a browser.
  • Multiple database management with direct (plain text connection), direct (TLS/SSL connection) or proxied access for local instances behind a firewall.
  • Batch operation over multiple key that match a pattern (delete, rename, duplicate)

On the other hand, Spring Data provides the following key features:

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

Spring Data is an open source tool with 56 GitHub stars and 62 GitHub forks. Here's a link to Spring Data's open source repository on GitHub.

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What is Redsmin?

Redsmin is an all-in-one GUI for Redis, a tightly crafted developer oriented, online real-time monitoring and administration service for Redis.

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 Spring Data?
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What are some alternatives to Redsmin 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