Compare Google Cloud Memorystore vs. IBM Cloud Databases for Redis
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Memorystore
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.
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.
Learn more about Google Cloud Memorystore
Learn more about IBM Cloud Databases for Redis
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Google Cloud Memorystore is ranked 1st in In-Memory Data Store Services while IBM Cloud Databases for Redis is ranked 5th in In-Memory Data Store Services. Google Cloud Memorystore is rated 0.0, while IBM Cloud Databases for Redis is rated 0.0. On the other hand, Google Cloud Memorystore is most compared with Amazon ElastiCache, Azure Cache for Redis, RedisLabs and Hazelcast IMDG, whereas IBM Cloud Databases for Redis is most compared with Azure Cache for Redis.
See our list of best In-Memory Data Store Services vendors.
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