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Redis Cloud

Feature / Function

Redis CloudRedis Cloud ElastiCacheElastiCache RedisGreenAzure Redis Cache RedisToGoRedisToGo RedisGreenRedisGreen ObjectRocketObject Rocket Heroku RedisHeroku Redis Compose.ioCompose.io
General
Main use case Database,
Cache
Cache Cache Cache Cache Cache Cache Cache
Unlimited DBs per plan, each running in a dedicated process and in a non-blocking manner Yes No No No No No No No
High Availability
In-zone replication Yes Yes Yes No Yes Yes Yes Yes
Multi-zone replication Yes Yes No No No No No No
Auto fail-over Seconds Minutes Minutes No No Minutes No No
Data persistence AOF every 1 sec,
Snapshot
No Durability is not guaranteed No Maybe Maybe Yes Yes
Backup Periodic,
Ad-hoc
Periodic,
Ad-hoc
Yes Periodic Periodic Periodic No Periodic,
Ad-hoc
Scalability
Clustering support Yes Yes Fixed size cluster No No No No No
Sharding By Hash-Tag
or RegEx
By Hash-Tag By Hash-Tag No No No No No
Infinite & auto-scalability Yes No No No No No No No
Elasticity - dynamically grow & shrink Yes No No No No No No No
Performance
Responsive to high loads, "noisy neighbours" or instance size Yes No No No No No No No
No performance degradation during AOF Rewrite or Snapshot Yes No No No No No No No
Built-in acceleration features: socket connections, connection pooling, pipelining Yes No No No No No No No
Maximum database connections Unlimited 65,000 10,000 Unlimited Limited Unlimited 5,000 5,000
Security
AWS Security Group Yes Yes N/A No No N/A No No
SIP authentication Yes No No No No No No No
SSL Authentication & Encryption Yes No Yes No No Yes Yes No
Redis password Yes No Yes Yes Yes Yes Yes Yes
Ops
No data loss on plan upgrade Yes No No No No No No No
Fully automated service throughout dataset lifecycle Yes No No No No No Yes No
Offerings
Pay-as-you-go plan Yes No No No No No No No
Reserved instances Yes Yes No No No No No No
Dedicated instances Yes Yes Yes No Yes No Yes No
Availability
Clouds AWS; GCE; Azure;
IBM SoftLayer
AWS Azure AWS AWS Rackspace AWS AWS; GCE
Regions AWS/us-east-1;
AWS/us-west-2,
AWS/eu-west-1,
AWS/northeast-1;
AWS/southeast-1;
AWS/southeast-2;
Azure/us-east;
Azure/us-west;
GCE/us-central1;
IBM SoftLayer/Dallas
AWS Azure AWS/us-east-1 AWS/us-east-1;
AWS/eu-west-1
Rackspace
US-EAST
AWS/us-east-1;
AWS/eu-east-1
AWS/us-east-1;
AWS/eu-east-1;
GCE/us-east-1;
GCE/eu-east-1
Service guaranteed from the same AWS zone as your app servers Yes Yes N/A No No N/A No No
Platforms-as-a-Service Heroku;
IBM BlueMix;
Azure Store;
CloudFoundry;
OpenShift;
dotCloud;
AppFog;
AppHarbor;
None None Heroku;
AppHarbor;
Engine Yard /
Orchestra
Heroku None Heroku IBM BlueMix

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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About Us

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.