The Key Differentiator Between Redis Enterprise Cloud and Other Hosted Redis 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 Enterprise Cloud overcomes these limitations by adding the breakthrough Redis Enterprise technology layer to open source Redis, while fully supporting it.
This superior approach is what makes Redis Enterprise Cloud exceptional when it comes to high availability, performance and scaling. 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 time from a node failure. Datasets are also constantly replicated, so if a node fails, an automatic failover mechanism guarantees data is served without interruption.
Redis Enterprise 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 Enterprise, 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, meeting any Redis scalability needs.
The added advantage of this is that your costs stay low as your data size increases, with no compromises on performance or availability. Our superior technology allows us to make better use of cloud servers than you can with the other hosting providers, and we pass on these savings to you!
Redis Enterprise Cloud is completely “zero touch.” A Redis database can be created in seconds, and all operations are fully-automated from that moment on. This brings you additional benefits in terms of fewer resources needed and lesser time managing Redis instances.
