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Database Search Message Queue Key-Value Store NoSQL In-Memory Caching

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Last Updated: 08-21-2026 01:49 PM (UTC)

Valkey

With 26,600 GitHub stars, 50 contributing companies including AWS, Google Cloud, Oracle, and Ericsson, and governance under the Linux Foundation ensuring the BSD 3-Clause license can never be revoked by a single entity, Valkey delivers a truly open-source Redis-compatible key-value datastore that reached 1.19 million requests per second in version 8.0 through redesigned asynchronous I/O threading across CPU cores while maintaining single-threaded data structure operations for predictability. Native data structures include strings, hashes, lists, sets, sorted sets, bitmaps, HyperLogLogs, streams, and geo-spatial indices with JSON support through modules. Valkey 9.0 shipped full-text search and aggregation via Valkey Search, enabling tag queries, numeric filtering, and text matching directly within the datastore without external search engines. Cluster mode provides horizontal scaling with automatic sharding, replication for high availability, and per-slot metrics for granular monitoring. Lua scripting enables complex atomic operations, while the module plugin system extends the server with custom commands and data types including probabilistic Bloom filters. Client libraries for Python, Java, Go, Node.js, and PHP maintain full Redis OSS protocol compatibility — existing Redis applications work without code changes. Deploy as a standalone daemon or in clustered mode with Docker, supporting persistent and ephemeral workloads on any Linux host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD 3-Clause licensed.

Valkey
Valkey
Valkey
Valkey
Valkey

Benefits

  • Truly Open Source Forever
  • BSD 3-Clause license under Linux Foundation governance ensures no single company can revoke open-source access, backed by AWS, Google Cloud, Oracle, Ericsson, and 50 contributing organizations.
  • Million Requests Per Second
  • Redesigned asynchronous I/O threading in version 8.0 achieves over 1.19 million requests per second by processing network I/O across CPU cores while keeping data operations single-threaded.
  • Drop-In Redis Replacement
  • Full Redis OSS protocol compatibility with existing client libraries, commands, and data structures means applications migrate without code changes — even creates redis-cli symlinks automatically.
  • Built-In Full-Text Search
  • Valkey Search module in version 9.0 adds text matching, tag queries, numeric filtering, and aggregation pipelines directly within the datastore without requiring external Elasticsearch or Solr instances.

Features

  • Rich Data Structures
  • Strings, hashes, lists, sets, sorted sets, bitmaps, HyperLogLogs, streams, geo-spatial indices, and JSON through native modules with atomic in-place operations.
  • Cluster High Availability
  • Automatic sharding across nodes with replication, failover, and per-slot metrics for horizontal scaling with configurable consistency guarantees.
  • Lua Scripting Engine
  • Embedded Lua interpreter executes complex atomic operations as server-side scripts with access to all data structures and commands in single transactions.
  • Module Plugin System
  • Extensible architecture supports custom commands, data types, and access patterns including Bloom filters, JSON, search, and time-series through loadable shared libraries.
  • Persistence Options
  • RDB point-in-time snapshots and AOF append-only file logging with configurable fsync policies provide durability guarantees from ephemeral caching to primary database workloads.