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IBM Cloud Databases for Redis vs RedisLabs comparison

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Also Known As
Redis Enterprise
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Overview

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.

Redis Labs is the home of Redis, the world’s most popular in-memory database, and commercial provider of Redis Enterprise, which delivers superior performance, unmatched reliability, and the best TCO. Initially employed as a caching layer, Redis is now used by virtually every large enterprise, startup, and government organization to power use cases such as e-commerce, AI/ML, search, fraud detection, real-time inventory management, user session stores, and much more.

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Learn more about IBM Cloud Databases for Redis
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Sample Customers
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PhP, Python, hiredis, Java, Go
Top Industries
No Data Available
VISITORS READING REVIEWS
Comms Service Provider27%
Computer Software Company21%
Retailer13%
Media Company5%

IBM Cloud Databases for Redis is ranked 7th in In-Memory Data Store Services while RedisLabs is ranked 4th in In-Memory Data Store Services. IBM Cloud Databases for Redis is rated 0.0, while RedisLabs is rated 0.0. On the other hand, IBM Cloud Databases for Redis is most compared with Amazon ElastiCache and Azure Cache for Redis, whereas RedisLabs is most compared with Google Cloud Memorystore, Amazon ElastiCache, ActiveMQ and Amazon SQS.

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.