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Azure Redis Cache

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Azure Redis Cache vs Redis: What are the differences?

What is Azure Redis Cache? A fully managed, open source–compatible in-memory data store. It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

What is Redis? An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

Azure Redis Cache and Redis can be primarily classified as "In-Memory Databases" tools.

Redis is an open source tool with 37.9K GitHub stars and 14.6K GitHub forks. Here's a link to Redis's open source repository on GitHub.

Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas Azure Redis Cache is used by Veris, Azure-cosmos-db, and Seven Corners. Redis has a broader approval, being mentioned in 4259 company stacks & 8886 developers stacks; compared to Azure Redis Cache, which is listed in 5 company stacks and 3 developer stacks.

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Pros of Azure Redis Cache
Pros of Redis
  • 2
  • 2
  • 882
  • 540
    Super fast
  • 510
    Ease of use
  • 441
    In-memory cache
  • 321
    Advanced key-value cache
  • 190
    Open source
  • 180
    Easy to deploy
  • 163
  • 153
  • 120
  • 40
  • 39
    High Availability
  • 34
    Data Structures
  • 31
    Very Scalable
  • 23
  • 21
    Great community
  • 21
  • 17
    "NoSQL" key-value data store
  • 14
  • 12
  • 10
    Sorted Sets
  • 9
  • 8
    BSD licensed
  • 8
  • 7
    Integrates super easy with Sidekiq for Rails background
  • 7
    Async replication
  • 7
  • 6
    Keys with a limited time-to-live
  • 6
    Open Source
  • 5
  • 5
    Lua scripting
  • 4
  • 4
    Awesomeness for Free!
  • 3
  • 3
    Runs server side LUA
  • 3
    outstanding performance
  • 3
  • 3
    LRU eviction of keys
  • 3
    Written in ANSI C
  • 3
    Feature Rich
  • 2
    Performance & ease of use
  • 2
    Data structure server
  • 1
  • 1
    Channels concept
  • 1
  • 1
    Temporarily kept on disk
  • 1
    Dont save data if no subscribers are found
  • 1
    Automatic failover
  • 1
    Easy to use
  • 1
    Existing Laravel Integration
  • 1
    Object [key/value] size each 500 MB

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Cons of Azure Redis Cache
Cons of Redis
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    • 15
      Cannot query objects directly
    • 3
      No secondary indexes for non-numeric data types
    • 1
      No WAL

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    What companies use Azure Redis Cache?
    What companies use Redis?
    See which teams inside your own company are using Azure Redis Cache or Redis.
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    What tools integrate with Azure Redis Cache?
    What tools integrate with Redis?

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    What are some alternatives to Azure Redis Cache and Redis?
    Amazon ElastiCache
    ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.
    Azure CDN
    It lets you reduce load times, save bandwidth, and speed responsiveness—whether you’re developing or managing websites or mobile apps, or encoding and distributing streaming media, gaming software, firmware updates, or IoT endpoints.
    With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
    Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
    It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
    See all alternatives