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SPECIFICTION
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RocksDB vs Valkey

RocksDB

rocksdb.org

Valkey

valkey.io

Side by side

FigureRocksDBValkey
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYes—
macOSYesYes
LinuxYesYes
iOSYes—
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Key-Value Databases8.1 (#5)7.4 (#21)
IntegrationsThe project documents a MyRocks database storage engine as one example of using RocksDB.The Valkey site lists managed or compatible offerings from Amazon ElastiCache, Google Cloud Memorystore, Oracle Cloud Infrastructure Cache, UpCloud, DigitalOcean, and others.
SupportThe project directs users to its Google Group or Facebook Group for general questions and reserves GitHub issues for bug reports.The Valkey site lists Percona as offering operational support and project-based consulting for Valkey databases.
Use casesThe project describes use in database storage engines, application data caching, and embedded workloads.The quick start guide describes caching database or API results, session tokens, rendered HTML, reports, leaderboards, matchmaking, and AI or ML inference outputs.
What it doesRocksDB is an embeddable, persistent key-value store for fast storage.Valkey is an open source, high-performance key/value datastore for caching, message queues, and use as a primary database.

Plans

RocksDB

  • RocksDBFree

RocksDB pricing →

Valkey

  • ValkeyFree

Valkey pricing →

In their own words

RocksDB

RocksDB is an embeddable, persistent key-value store for applications that need fast storage. It stores keys and values as arbitrary byte arrays, with ordering determined by a comparator chosen by the user. Its log-structured merge design allows configuration of tradeoffs among write, read, and space amplification, and the project describes it as optimized for low-latency storage on flash drives and high-speed disks. The C++ library supports opening and closing databases, reads and writes, merging, and compaction filters. Described uses include database storage engines, application data caches, and embedded workloads. Multi-threaded compactions support databases holding multiple terabytes; the project describes an audience of application servers storing up to a few terabytes on local or remote systems. RocksDB also has a Java wrapper, RocksJava, with artifacts published through Maven. It is free and open source under either GPLv2 or Apache 2.0, at the user's choice. Building requires GCC 11 or later or Clang 10 or later for C++20 support; values must be smaller than 4 GB.

Visit rocksdb.org

Valkey

Valkey is a free, open-source key/value datastore for caching, message queues and primary database workloads. It handles strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs and other data types. Deployments can run as a standalone daemon or as a cluster, with replication and high-availability options. Lua scripting and module plugins can add commands and data types. Documented uses include caching database or API results, session tokens, rendered HTML, reports, leaderboards, matchmaking and AI or ML inference outputs. Installation is available from source, Docker, Homebrew or MacPorts on macOS, and package managers for Linux and BSD. Valkey runs on Linux and macOS and can be self-hosted or accessed through an API; Windows is not officially supported, though WSL installation is described for development. The Linux Foundation backs the project, which says it will remain open source. Security guidance covers ACL authentication, optional TLS and network restrictions. Protocols include RESP, TCP and Unix sockets.

Visit valkey.io