14+ Redis-Compatible Databases Ranked & Compared

Compare Redis-compatible databases and alternatives, drop-in replacements that speak the Redis protocol with better performance, licensing, or features.

Last updated: August 27, 2026
13 databases
Compatible with
PostgreSQLMySQLRedisMongoDBElasticsearch
1Dragonfly
Dragonfly
31.0k+116 30d

Modern in-memory data store fully compatible with Redis and Memcached, delivering 25x more throughput

Key-Value·2022·BSL-1.1·C++
2Valkey
Valkey
27.0k+314 30d

Open-source high-performance key-value database forked from Redis, backed by the Linux Foundation

Key-Value·2024·BSD-3-Clause·C
3KeyDB
KeyDB
12.5k+10 30d

Multithreaded Redis fork with higher throughput and active replication

Key-Value·2019·BSD-3-Clause·C++, C
4DiceDB
DiceDB
10.8k−1 30d

Redis-compatible key-value engine with query subscriptions and hierarchical storage tiers

Key-Value·2023·BSD-3-Clause·C
5FalkorDB
FalkorDB
5.7k+563 30d

Ultra-fast in-memory graph database using GraphBLAS, optimized for GraphRAG and knowledge graphs

Graph·2023·SSPL-1.0·C
6Redka
Redka
4.6k+3 30d

Redis re-implemented with SQLite for persistent, ACID-compliant key-value storage

Key-Value·2024·BSD-3-Clause·Go
7Kvrocks
Kvrocks
4.4k+27 30d

Distributed Redis-compatible key-value NoSQL database built on RocksDB for cost-effective persistent storage

Key-Value·2019·Apache-2.0·C++
8Olric
Olric
3.5k+10 30d

Distributed, in-memory key/value store and cache with Redis-compatible protocol support

Key-Value·2018·Apache-2.0·Go
9Roshi
Roshi
3.2k0 30d

Large-scale CRDT set implementation for timestamped events backed by Redis

Time-Series·2014·BSD-2-Clause·Go
10EloqKV
EloqKV
1.5k+1 30d

High-performance distributed Redis-compatible database with ACID transactions, tiered storage and predictable tail latency.

Key-Value·2025·source-available
11Infinispan
Infinispan
1.3k+6 30d

Open-source distributed in-memory data grid with multi-protocol access and cross-site replication

Key-Value·2009·Apache-2.0·Java
12ArcadeDB
ArcadeDB
1.1k+63 30d

Multi-model database supporting graphs, documents, key-value, vectors, time-series, and search in one engine

Multi-Model·2021·Apache-2.0·Java
13ScaleOut StateServer
ScaleOut StateServer

In-memory data grid with distributed caching, parallel query, and high availability for .NET and Java

Key-Value·2005·Commercial·C++, C#

What does Redis-compatible mean?

A Redis-compatible database speaks the RESP protocol (Redis Serialization Protocol) and supports Redis commands like GET, SET, HSET, ZADD, and LPUSH. Existing Redis clients (redis-cli, ioredis, jedis, redis-py) connect without code changes. Compatibility levels vary: Valkey is a near-perfect fork that aims for 100% Redis API parity; DragonflyDB and KeyDB offer Redis API compatibility with different internal architectures (multi-threaded, modern memory management); Garnet is Microsoft's high-performance Redis-compatible cache. Compatibility means migration is usually a connection-string change, not a code rewrite.

Why use a Redis-compatible alternative?

Three driving reasons: licensing, performance, or operational simplicity. Valkey was created in 2024 after Redis Labs changed Redis's license, providing a fully open-source (BSD) alternative backed by AWS, Google, and Oracle. DragonflyDB delivers 10-25x better throughput than Redis through a multi-threaded architecture. KeyDB also offers multi-threaded performance with full Redis compatibility. Garnet (Microsoft Research) targets cloud-scale caching with even better performance characteristics. If you're on Redis OSS and want better licensing, more throughput, or modern architecture without changing your application, these are the options.

Frequently asked questions

What is the difference between Redis and a Redis-compatible database?
Redis is the original in-memory data store, now under a dual license (RSAL and SSPL) since 2024. A Redis-compatible database speaks the same RESP protocol and supports the same commands, but is built and licensed separately. Valkey is a Linux Foundation fork maintaining full Redis compatibility under BSD. DragonflyDB and KeyDB rebuild the engine from scratch with multi-threading for higher throughput. The applications connecting to them don't know the difference: same drivers, same commands, same data structures.
Is Valkey compatible with Redis?
Yes, Valkey is a direct fork of Redis 7.2 created in 2024 after Redis Labs's license change. It maintains full API compatibility. Every Redis command, data type, and client library works unchanged with Valkey. The Linux Foundation maintains it with major contributions from AWS, Google, Oracle, and others. AWS ElastiCache, Google Memorystore, and most cloud providers now offer Valkey as a Redis-compatible option. For new projects or migrations from Redis OSS, Valkey is the most common choice.
Why would I use DragonflyDB instead of Redis?
Performance and resource efficiency. DragonflyDB delivers 10-25x higher throughput than Redis on the same hardware by using a modern multi-threaded shared-nothing architecture (Redis is single-threaded). It's API-compatible with Redis. Your existing application code, drivers, and commands work unchanged. The tradeoffs: smaller community than Redis, fewer enterprise features, and a custom storage engine that has different operational characteristics. Choose DragonflyDB when you need maximum throughput from a single node or want to consolidate Redis clusters.
Can I migrate from Redis to a compatible alternative without code changes?
For application code: yes. Drivers, commands, and data types all work unchanged. The migration is typically a connection-string change. For data: most alternatives support Redis RDB and AOF formats for direct import, or you can use replication to copy data live. For operations: monitoring, alerting, and management tools may need adjustment since each alternative has its own internals. Valkey is the closest to a true drop-in replacement; DragonflyDB and KeyDB require some operational learning curve.
Is Memcached a Redis-compatible alternative?
No. Memcached is its own protocol and feature set. It only supports simple string key-value pairs, has no persistence, no complex data types (lists, sets, hashes), and uses a different protocol than Redis. While both are in-memory caches, you can't swap Memcached for Redis (or vice versa) without code changes. If you need Redis features with better performance or licensing, look at Valkey, DragonflyDB, or KeyDB. If you only need a simple multi-threaded cache, Memcached works but isn't a Redis substitute.

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