Bring your ideas to life and save!
Bring your ideas to life and save!
Redis is the most popular data store on the Internet. According to recent poll, conducted by consulting company, almost 28% of Amazon AWS customers use Redis in production. Carrot DB is in memory data type store, which provides 100% compatible Redis 6.x API. Customers can use the same client libraries to access Carrot DB as they use to access Redis data store. This facilitates easy migration from Redis to Carrot DB.
The novel in memory data store engine allows Carrot DB to store up to 5x times more data than Redis. Customers can replace 5 Redis servers with one Carrot DB server to store and process the same data set. This will result in a significant TCO reduction.
Customers will not need anymore to use additional RDBMS to provide full data durability (Redis does not support true and efficient data durability), because Carrot DB implements durability using industry standard combination of a lightweight data snapshots and Write-Ahead-Logging.
Carrot can handle 100s of GB of data in memory and provides much better vertical scalability than Redis. Redis vertical scalability is limited by its in memory data snapshot (to disk) implementation, which requires Unix process forking. Process fork allows Redis to implement point-in-time data snapshot but has its own limitations: Unix fork() call requires on average 10ms for every 1GB of process memory, introducing stop-the-world pause to applications, another significant issue with fork() is additional RAM required to keep dirty memory pages during snapshot. As a rule of thumb, Redis users must provision additional 25% - 50% of RAM only to support Redis data snapshots. Carrot snapshots are fork-less and do not require any additional RAM to work and do not introduce any stop-the-world pauses. Besides this, Carrot loads and save data from/to disks up to 45x faster than Redis does. Forkless snapshots and extremely fast I/O allows Carrot easily handle 100s of GBs of data in memory. For Redis, due to its limitations described above, recommended maximum size of memory is around 25GB.
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