Google Cloud Memorystore vs IBM Cloud Databases for Redis comparison

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Also Known As
Memorystore
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Overview

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.

Sample Customers
Paypal, Target, The Home Depot
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Top Industries
VISITORS READING REVIEWS
Computer Software Company16%
Financial Services Firm14%
Retailer10%
Manufacturing Company9%
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Company Size
VISITORS READING REVIEWS
Small Business22%
Midsize Enterprise11%
Large Enterprise67%
No Data Available

Google Cloud Memorystore is ranked 2nd in In-Memory Data Store Services while IBM Cloud Databases for Redis is ranked 8th 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, Redis, Azure Cache for Redis and Hazelcast IMDG, whereas IBM Cloud Databases for Redis is most compared with .

See our list of best In-Memory Data Store Services vendors.

We monitor all In-Memory Data Store Services reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.