What Are the Differences Between GeminiDB Redis API, Open-Source Redis, and Other Open-Source Redis Cloud Services?

Redis, an open-source in-memory data structure store, is used as a cache broker. GeminiDB Redis API, an enhanced version of open-source Redis, is an elastic KV database compatible with the Redis protocol, supports much larger capacity than memory, and delivers ultimate performance. Hot data is stored in memory, and full data is stored in a high-performance storage pool. GeminiDB Redis API features:

• Low stable latency

  The average single-point read/write latency is shorter than 1 ms, and the P99 latency is shorter than 2 ms. By adopting a multi-thread architecture, GeminiDB Redis API allows for flexible QPS adjustment ranging from 10,000 to 10,000,000.

• High cost-effectiveness

  30% lower comprehensive costs: Because no standby node is required and GeminiDB Redis API offers an ultra-high data compression ratio of 4:1, it is cheaper to scale out storage capacity.

• Higher O&M efficiency

  2 GB to 100 TB more capacity can be added to storage devices without any impact on services. Point-in-Time Recovery (PITR) restores databases up to a specific moment in time.

• More enhanced features for enterprises

  An expiration time can be specified for individual fields in a hash. A Bloom filter can be used. Data can be imported extremely fast. Memory acceleration can be enabled.

For details about the comparison between GeminiDB Redis and open-source self-built KV databases, see Highlights.