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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.
Pros of Azure Redis Cache
- Cache-cluster2
- Redis2
Pros of Redis
- Performance882
- Super fast540
- Ease of use510
- In-memory cache441
- Advanced key-value cache321
- Open source190
- Easy to deploy180
- Stable163
- Free153
- Fast120
- High-Performance40
- High Availability39
- Data Structures34
- Very Scalable31
- Replication23
- Great community21
- Pub/Sub21
- "NoSQL" key-value data store17
- Hashes14
- Sets12
- Sorted Sets10
- Lists9
- BSD licensed8
- NoSQL8
- Integrates super easy with Sidekiq for Rails background7
- Async replication7
- Bitmaps7
- Keys with a limited time-to-live6
- Open Source6
- Strings5
- Lua scripting5
- Hyperloglogs4
- Awesomeness for Free!4
- Transactions3
- Runs server side LUA3
- outstanding performance3
- Networked3
- LRU eviction of keys3
- Written in ANSI C3
- Feature Rich3
- Performance & ease of use2
- Data structure server2
- Simple1
- Channels concept1
- Scalable1
- Temporarily kept on disk1
- Dont save data if no subscribers are found1
- Automatic failover1
- Easy to use1
- Existing Laravel Integration1
- Object [key/value] size each 500 MB1
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Cons of Azure Redis Cache
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1