Jedis (JavaScript Embedded Data Store) is an in-process alternative to Redis, with the goal of being easy to use, fast, and less memory footprint. Its API is similar to Redis in most cases, but it is not a drop-in replacement.
It's intended to be used in scenarios where you want to work with Redis-like data structures, but you don't want to run a Redis server. It's the best choice if you want to use it in a single server/node, or run in a memory constrained environment.
Store data efficiently, you must!
Goals:
- Implement a subset of Redis data structures
- Fast and lightweight memory usage
- Persistent: data doesn't have to fit in RAM
- Scalable across multiple processes or threads
- ACID compliant
- Efficient storage and retrieval of structured JS data types
- In-process API (no network overhead) but I might add a TCP/HTTP server in the future (if it's worth it).
- Not intended to be used as a drop-in replacement for Redis, but the API is closely modeled after Redis.
- Not intended for use in serverless function/edge environments
The benchmark code is in the benchmark folder.
I ran this on my M1 MacBook Pro, and the results are as follows:
GET operations:
SET operations:
Redis is run via Docker and doesn't persist to disk. But there might be better ways to benchmark, I'm just using the current one to get a baseline and keep working towards v1.0.0.
For the sake of external validation, please star the repo 💫
Want to support me financially, so that I spend more time on this project? I'm on GitHub Sponsors but my sponsor profile is a bit outdated for now. Reach out on Twitter or LinkedIn if you want to talk about it.