Redis alternatives are other in-memory data stores for caching, sessions, queues and real-time features, from drop-in compatible forks to different databases. Compatible forks suit teams who want to keep their code, while other stores suit different workloads. Read the licence of each option, because licensing is what started much of this search.
Redis has sat behind fast apps for years, speeding up pages, holding sessions and powering queues. When its licence changed, many teams took a fresh look at what else is out there.
Here are ten Redis alternatives in no particular order, sorted alphabetically, from compatible forks to distributed data platforms. Each description comes from the project's own website, re-checked today. If speed is the reason you use a cache at all, my piece on why speeding up your website matters puts it in business terms.
Decide whether you need compatibility. Some alternatives speak the same protocol, so your code barely changes. Others are different systems that need real migration work.
And be clear on what you use it for. A simple cache, a session store and a message queue have different needs, and the right alternative for one may be wrong for another.
Redis alternatives at a glance
In the free plan column, Yes means the tool's own site describes a free version or free plan, Trial only means a time-limited trial, and No means neither is stated. Free versions often come with limits, so check what's included before you rely on one.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Aerospike | Real-time database | High-throughput data at scale | Yes |
| Amazon ElastiCache | Managed in-memory service | Managed caching on AWS | Trial only |
| Apache Ignite | Distributed database | In-memory computing across clusters | Yes |
| Dragonfly | In-memory data store | Big caches on modern hardware | Yes |
| Garnet | Open-source cache store | High-performance caching from Microsoft research | Yes |
| Hazelcast | Real-time data platform | Distributed caching for Java apps | Yes |
| KeyDB | Multithreaded database | A compatible, multithreaded option | Yes |
| Memcached | Distributed memory cache | Simple, proven caching | Yes |
| Upstash | Serverless data platform | Serverless apps and edge functions | Yes |
| Valkey | Open-source key-value store | A community-run fork | Yes |
Ten Redis alternatives to consider
Aerospike
Best for: Teams who need a fast, distributed database for very high read and write volumes.
Amazon ElastiCache
Best for: Teams on AWS who want a managed cache without running servers themselves.
Apache Ignite
Best for: Teams who want distributed in-memory data and computing across many servers.
Dragonfly
Best for: Teams who want a compatible in-memory store designed to use many CPU cores.
Garnet
Best for: Developers who want an open-source cache store from Microsoft Research.
Hazelcast
Best for: Teams building Java and enterprise apps who want distributed caching and streaming.
KeyDB
Best for: Teams who want a compatible database that uses multiple threads.
Memcached
Best for: Teams who only need a simple, fast cache and nothing more.
Upstash
Best for: Developers building serverless apps who want a data store with a free tier and serverless-friendly connections.
Valkey
Best for: Teams who want an open-source key-value store that continues the original codebase under an open licence.
The licence change that started a popular fork
Here's the background many developers skimmed past. Redis's own blog announced in 2024 that future releases would move to dual RSALv2 and SSPLv1 source-available licences, and would no longer be distributed under the three-clause BSD licence. The Linux Foundation then launched Valkey, continuing development from Redis 7.2.4 under the BSD 3-clause licence.
Which licence suits you depends on how you use and distribute the software, so read each one or ask your legal adviser. For most internal apps, the practical question is which project you trust to keep improving.
What to check in a Redis alternative
- Compatibility: does it speak the same protocol and commands?
- Licence: is it open source, source-available or proprietary?
- Persistence: can it save data to disk if the server restarts?
- Scaling: does it cluster across servers the way you need?
- Managed options: can you get it as a hosted service?
How to migrate a cache safely
- List what your app stores in the cache and how long it lives.
- Test the alternative with your real commands in a staging environment.
- Run load tests that match your busiest hour.
- Switch one service at a time, starting with the least critical.
- Watch error rates and latency for a week before moving the rest.
Cache migration mistakes
- Assuming full compatibility. Test every command you use.
- Skipping load tests. Small tests hide big problems.
- Migrating everything at once. Move one service at a time.
- Ignoring persistence settings. Know what survives a restart.
If you're rethinking how your app is built, my explainer on monolithic vs microservices covers the bigger design choice.
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Do you make data stores? Tool makers can ask to be considered for a featured place on this list.
My plain advice on Redis alternatives
If your code relies on standard commands, a compatible fork is the lowest-risk move. Save bigger changes for when you need different features, not just a different logo.
And test under real load. Caches behave very differently at three in the morning and at your busiest hour. Keep the old setup ready to switch back to for a few days, because a quick rollback is the best safety net you've got.
Frequently asked questions
What can replace Redis?
Compatible forks, other in-memory stores and managed caching services can all replace it.
Is there an open-source Redis alternative?
Yes. Some alternatives are fully open source under permissive licences.
Why did Redis change its licence?
Redis explained its reasons on its own blog. The result was a move to source-available licences.
Will my code work with an alternative?
If it uses standard commands, many compatible stores work with little change.
What's the difference between a cache and a database?
A cache keeps fast, temporary data. A database stores data permanently.
Can I use a managed service?
Yes. Cloud providers offer managed in-memory caching services.
Is Memcached still used?
Yes. It's popular for simple caching where extra features aren't needed.
What's persistence?
It means saving in-memory data to disk so it survives a restart.
How do I test performance?
Run load tests that mirror your real traffic and commands.
Does licensing affect small apps?
Usually less than large platforms, but it's worth checking how you distribute software.
Can I run two caches during a migration?
Yes. Many teams run old and new side by side before switching.
What's a key-value store?
It's a database that stores data as simple pairs of keys and values.
Do I need a cache at all?
Not always. Add one when the same data is requested again and again and your database is slowing pages down.
