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.
Databases for Redis gives two Redis instances—a master and a replica member—with Redis sentinels monitoring both. Accessing the database is managed through a single Kubernetes Nodeport, behind which one or more HAProxy instances handle all the traffic. It’s the HAProxy instances that manage to which we’ve added support for TLS/SSL encryption for incoming connections to the Redis server—something Redis doesn’t do out-of-the-box currently.
Azure Cache for Redis is ranked 2nd in In-Memory Data Store Services while IBM Cloud Databases for Redis is ranked 6th in In-Memory Data Store Services. Azure Cache for Redis is rated 0.0, while IBM Cloud Databases for Redis is rated 0.0. On the other hand, Azure Cache for Redis is most compared with Amazon ElastiCache, Google Cloud Memorystore, Hazelcast IMDG and Varnish Cloud, whereas IBM Cloud Databases for Redis is most compared with Google Cloud Memorystore and Amazon ElastiCache.
See our list of best In-Memory Data Store Services vendors.
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