skytable VS sky-benches

Hey HN!

I've been working on Skytable since 2020 and after several iterations from a simple K/V store, we've walked the path to this release. The goal of Skytable is to deliver a solid foundation for building data intensive applications.

Skytable's primary goal is performance and scale. Even with a query language it can outperform K/V stores which use simple commands (benchmarks will be shared in another post).

Several implementations in Skytable (especially around query evaluation and execution) are fundamentally different from SQL and even NoSQL counterparts and there are some entirely new concepts which might make it a little hard to grasp.

BlueQL is a very important part of Skytable and it employs some interesting concepts to try and reduce the surface for injection attacks and tries to be a modern and secure alternative to SQL.

- Source code: https://github.com/skytable/skytable

For those who were looking for the source code, here's the link: https://github.com/skytable/skytable

Link to source code: https://github.com/skytable/skytable

Here are some quick links: - Source code: https://github.com/skytable/skytable - Rust driver: https://github.com/skytable/client-rust

I think this is relevant... These are 3 OSS databases that can be an alternative to Redis:

- KeyDB: https://github.com/snapchat/keydb

- Dragonfly: https://github.com/dragonflydb/dragonfly

- Skytable: https://github.com/skytable/skytable

I have used keyDB before. The raft consensus makes building an HA Redis easy.

:) in fact, I copied the definition from the project page and Skytable is not finished project yet. You can see here, the real time features in the road map. https://github.com/skytable/skytable/issues/203

UPDATE: I have published some initial benchmarks against KeyDB here: https://github.com/ohsayan/sky-benches. Oddly enough, the bump in the number of queries in KeyDB is similar to that of Skytable. If anyone has suggestions or find something to be anomalous, please open an issue!