Django Caching 101: Understanding the Basics and Beyond

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • redis-commander

    Redis management tool written in node.js

  • Redis: Redis CLI, RedisInsight, Redis Commander

  • Redis

    Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  • Django also supports using Redis as a cache backend. Redis is an in-memory data structure store that can function as a cache server. It offers advanced caching features and can be used to store various types of data.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • Memcached

    memcached development tree

  • Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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