I am building a Serverless version of Redis - written in Rust

• RedisLess

  0 147 8.4 Rust

  RedisLess is a fast, lightweight, embedded and scalable in-memory Key/Value store library compatible with the Redis API.

  

  Data is not persisted yet - everything lives in memory and synced to different instances via Raft (not implemented yet). So it will be a volatile K/V store at the moment. In the future, it will be possible to plug another [storage](https://github.com/Qovery/RedisLess/tree/main/redisless/storage/src) to support persistence.

• engine

  23 1,587 -4.7 Rust

  The simplest way to deploy your apps on any cloud provider ⚡️ (by Qovery)

  

  The project is super early, but in [my company](https://www.qovery.com) we already plan to use RedisLess for our backend API written in Kotlin. I am interested in getting your feedback, and if you like the project, give it a star :)

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• Redis

  118 59,046 9.8 C

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  

  Last weekend, after digging for one month into Redis implementation details. I decided to build something meaningful to me - and for every backend developer - a serverless version of Redis.

• node-cache

  1 1,962 0.0 CoffeeScript

  a node internal (in-memory) caching module

  

  If you're looking for a caching library, there are several of them in every language I've ever used. For example, in Node node-cache is very popular (https://github.com/node-cache/node-cache). Every language I've ever worked in has a few of these. They tend to have a pretty similar basic feature set, and they all have at least the same functions that you defined in your project.

• yugabyte-db

  43 7,621 10.0 C

  YugabyteDB - the cloud native distributed SQL database for mission-critical applications.

  

  For me, if you look back to when Redis has been designed - 11 years ago, it was before the Cloud was a thing. Since then, you have Cloud alternatives that are mostly proprietary. The idea of RedisLess is not competing against a product that is existing for 11 years but showing a new path of how we can build a system on top of an existing one. You can see RedisLess as experimentation. How to build Cloud-native databases by taking advantage of existing solutions? TiDB, Yugabyte, CockroachDB are great examples of being MySQL wire protocol compatible and providing a Cloud way of managing data.

• cockroach

  52 26,800 10.0 Go

  CockroachDB - the open source, cloud-native distributed SQL database.

  

  For me, if you look back to when Redis has been designed - 11 years ago, it was before the Cloud was a thing. Since then, you have Cloud alternatives that are mostly proprietary. The idea of RedisLess is not competing against a product that is existing for 11 years but showing a new path of how we can build a system on top of an existing one. You can see RedisLess as experimentation. How to build Cloud-native databases by taking advantage of existing solutions? TiDB, Yugabyte, CockroachDB are great examples of being MySQL wire protocol compatible and providing a Cloud way of managing data.

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