The best open source alternative to Redis is Dragonfly. If that doesn't suit you, we've compiled a ranked list of other open source Redis alternatives to help you find a suitable replacement. Other interesting open source alternative to Redis is SlateDB.
Redis alternatives are mainly In-Memory Databases but may also be Distributed Storage Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Redis.
Dragonfly is a high-performance, Redis-compatible in-memory data store that delivers up to 25x more throughput and 80% lower costs than legacy solutions.

Dragonfly is a cutting-edge in-memory data store designed to meet the demanding performance and efficiency requirements of modern cloud-based applications. As a drop-in replacement for Redis, Dragonfly offers seamless integration while providing significant advantages:
Key benefits of switching to Dragonfly:
Dragonfly is trusted by developers from leading companies like Buzzfeed, Ubisoft, Epic Games, and Wayfair. Whether you're looking to enhance performance, reduce costs, or simplify your data infrastructure, Dragonfly offers a powerful solution for high-performance, scalable applications.
Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.
SlateDB is an embedded storage engine that leverages object storage for durability, scalability, and simplified replication without the need for disk management.

SlateDB is an innovative embedded storage engine that revolutionizes data management by building on top of object storage.
Here are its key features and benefits:
SlateDB simplifies database management by abstracting away many low-level concerns, allowing developers to focus on building their applications rather than managing infrastructure. Its design makes it particularly suitable for cloud-native applications, distributed systems, and scenarios where durability and scalability are crucial.