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SOLUTIONS

Redis Flex

Redis Flex
Cache 5X more—at no extra cost

Cut deployment costs by up to 80 percent and make apps faster—without changing any code.

Redis Flex

How it works

Memory
Go beyond DRAM with SSDs

Redis Flex uses solid-state drives (SSDs) to extend databases beyond DRAM, so you can use the same Redis API to build apps on any size data sets.

Caching
Cache more for use cases—from 1 GB to terabytes

Get 5 GB of cache for the same price as 1 GB, for all cache sizes down to 1 GB with Redis Flex. Manage small caches without special caching strategies and application logic to handle restrictions and reduce risk for cache misses.

Fraud mitigation
Reduce costs compared with ElastiCache, Memorystore, and Redis Community Edition

Redis Flex is less expensive than any Redis fork, or even self-managed Redis. Memory allocation happens automatically, so you get lower costs without having to actively manage it yourself.

The key features

Cache more for less

Redis Flex allows users to cache 5 times more data for the same price, significantly reducing deployment costs by up to 80%. This is achieved by leveraging solid-state drives (SSDs) in addition to DRAM, making it more affordable compared to other memory solutions like ElastiCache, Memorystore, and even the Redis Community Edition.

Scale from 1 GB to terabytes

Redis Flex is designed to handle any size cache. Small caches can be managed without special strategies, while large dataset support makes it ideal for a range of use cases, including session management, content personalization, and gaming leaderboards.

Automatically optimize data storage

Combining DRAM and SSDs ensures that frequently-accessed data remains in memory for quick access, while less frequently accessed data is stored on SSDs. This means hot datasets remain in memory for optimal performance, while warm data is stored on SSDs for lower total cost of ownership (TCO).

See how our customers use Flex

  • Ekata
  • ifood
  • Docugami

“We now only use 30% of the DRAM storage we previously used, with no sacrifice in latency. That equates to hundreds of thousands of dollars in infrastructure savings each year.”

Varun KumarSenior Vice President of Engineering, Ekata
  • 70%Reduction in DRAM

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