Azure Cache for Redis provides an in-memory data store based on the open-source software Redis. When used as a cache, Redis improves the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory instead of being loaded from disk by a database.
Azure Cache for Redis can be used as an in-memory data structure store, a distributed non-relational database, and a message broker. Application performance is improved by taking advantage of the low-latency, high-throughput performance of the Redis engine.
Azure Cache for Redis provides access to a secure, dedicated Redis cache. Azure Cache for Redis is managed by Microsoft, hosted within Azure, and accessible to any application within or outside of Azure.
Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Memorystore to build application caches that provides sub-millisecond data access.
Azure Cache for Redis is ranked 3rd in In-Memory Data Store Services while Google Cloud Memorystore is ranked 1st in In-Memory Data Store Services. Azure Cache for Redis is rated 0.0, while Google Cloud Memorystore is rated 0.0. On the other hand, Azure Cache for Redis is most compared with Amazon ElastiCache, Hazelcast IMDG, Varnish Cloud and IBM Cloud Databases for Redis, whereas Google Cloud Memorystore is most compared with Amazon ElastiCache, RedisLabs, IBM Cloud Databases for Redis and Hazelcast IMDG.
See our list of best In-Memory Data Store Services vendors.
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