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Feature / Function
|Redis Cloud||ElastiCache||Azure Redis Cache||RedisToGo||RedisGreen||Object Rocket||Heroku Redis||Compose.io|
|Main use case||Database,
|Unlimited DBs per plan, each running in a dedicated process and in a non-blocking manner|
|Data persistence||AOF every 1 sec,
|Durability is not guaranteed|
|Clustering support||Fixed size cluster|
|By Hash-Tag||By Hash-Tag|
|Infinite & auto-scalability|
|Elasticity - dynamically grow & shrink|
|Responsive to high loads, "noisy neighbours" or instance size|
|No performance degradation during AOF Rewrite or Snapshot|
|Built-in acceleration features: socket connections, connection pooling, pipelining|
|Maximum database connections||Unlimited||65,000||10,000||Unlimited||Limited||Unlimited||5,000||5,000|
|AWS Security Group||N/A||N/A|
|SSL Authentication & Encryption|
|No data loss on plan upgrade|
|Fully automated service throughout dataset lifecycle|
|Clouds||AWS; GCE; Azure;
|Service guaranteed from the same AWS zone as your app servers||N/A||N/A|
Engine Yard /
The key differentiator between Redis Cloud and other hosted services
Most hosted services offer standard cloud instances pre-loaded with open source Redis. This approach does not tackle the operational limitations of running Redis on the cloud and does not provide great advantage over the do-it-yourself approach.
Redis Cloud overcomes these limitations by adding a breakthrough technological layer to open source Redis, while fully supporting it. The technology virtualizes multiple cloud servers into an infinite pool of memory, consumed by users according to the actual size of their datasets.
A dataset is distributed in small chunks across multiple shards and multiple nodes, minimizing the recovery process from a node failure.
Datasets are also constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.
Redis Cloud supports various data persistence options without compromising on data integrity, throughput or low latency. Users can also back up their datasets to a remote persistent storage for disaster recovery purposes.
With Redis Cloud, scaling is performed automatically - the shards autonomously inflate, deflate, multiply or reduce according to the dataset size and the measured performance of each shard. A dataset can continuously grow from a few megabytes to gigabytes, terabytes and even petabytes, overcoming the Redis scalability limitation.
Redis Cloud is completely “zero touch.” A Redis database can be created in seconds, and all operations are fully-automated from that moment on.
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Redis Labs is the open source home and commercial provider of Redis, a database benchmarked as the world’s fastest. Gartner has named the company as a Leader in it's 2015 ODBMS Magic Quadrant. Redis Labs' software and service solutions power cutting edge applications with blazing fast enterprise-class Redis and are trusted by thousands of customers for high performance, seamless scalability, true high availability and best-in-class expertise. Redis is ranked the #1 NoSQL (and #2 database) in User Satisfaction and Market Presence by G2 Crowd, the top database technology on Docker by Datadog, the most popular NoSQL database in containers by DevOps.com and ClusterHQ, the #1 NoSQL among Top 10 Data Stores by Stackshare and both the fastest growing database since January 2013 and one of the top three NoSQL databases by DB-engines.