Redis

Redis

Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.
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caching inmemory keyvalue-store

Redis: Open-Source In-Memory Data Store

Open-source in-memory data structure store used as a database, cache and message broker with support for various data structures.

What is Redis?

Redis is an open source, in-memory data structure store that can be used as a database, cache, and message broker. It provides high availability, performance, replication and supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs and geospatial indexes and streams.

Some key features of Redis:

  • Supports data structures like strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes and streams
  • Open source, in-memory and stores data in RAM for high performance and low latency
  • Master-slave asynchronous replication for high availability
  • Runs completely in memory but supports durability using snapshotting and append-only files
  • Multi-model database able to handle different kinds of workloads
  • Single-threaded avoids overhead from context switching, ideal for CPU-bound workloads
  • Used as database, cache, message broker, queuing system, gaming leaderboards, real-time analytics, geospatial, session store etc.

Redis powers many high-traffic sites and applications by providing a flexible data model, replication for scaling reads and high performance. Its versatility has made it a popular choice as a database, cache and message broker in modern applications.

Redis Features

Features

  1. In-memory data structure store
  2. Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
  3. Used as a database, cache, and message broker
  4. Provides high performance and low latency
  5. Supports replication, clustering, and high availability
  6. Supports a wide range of programming languages
  7. Provides a rich set of commands and APIs
  8. Supports data persistence (RDB and AOF)

Pricing

  • Open Source

Pros

High performance and low latency

Flexible and versatile data structures

Supports a wide range of use cases

Easy to set up and configure

Scalable and highly available

Open-source and free to use

Cons

In-memory nature can lead to data loss in case of system failures

Complexity in setting up and maintaining a highly available Redis cluster

Limited support for transactions and complex queries compared to traditional databases

Potential for high memory usage, especially for large datasets


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