Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.
Redis Cloud is a tool in the Key-Value Stores category of a tech stack.
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What are some alternatives to Redis Cloud?
Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.
Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.
Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.
It provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions.
AppFog, AppHarbor, Pivotal Web Services (PWS), Heroku, Backand and 1 more are some of the popular tools that integrate with Redis Cloud. Here's a list of all 6 tools that integrate with Redis Cloud.