cockroach VS RedisLess

CockroachDB is an open source distributed SQL database designed for scalability and resilience. While it offers SQL databases, CockroachDB is also compatible with PostgreSQL.

cockroachdb might be close: https://github.com/cockroachdb/cockroach

CockroachDB - SQL

For example, when you create a serverless postgres database with a platform like CockroachDB or Neon, you effectively get a connection string with a strong password. Anyone can connect to your database from anywhere so long as they have the right connection string. There are no security settings in these services to change this behavior.

> Yes you can on the android emulator. The biggest issue is compu arch in that case.

I can also download VirtualBox and run all Windows programs, that would mean that all Windows apps are Linux apps?

> Yes you can for the most part

You can't statically link glibc: https://github.com/cockroachdb/cockroach/issues/3392

glibc can break stuff: https://www.gamingonlinux.com/2022/08/valve-dev-understandab...

I had binaries break because the newer version if openssl was put under a slightly different name.

Also, worth noting, if you're already using PostgreSQL (or plan to) you might want to take a look at https://www.cockroachlabs.com/ they have a free tier too and CockroachDB has a PostgreSQL interface.

I know that some projects like cockroach use custom build tools like bazel. But we actually really like to use to be able to build our projects simply with the great go toolchain and don't really aim to dive deep into custom build solutions.

CockroachDB is designed to be globally distributed. It has to handle causality when resolving collisions. It has to account for having a write operation to arrive after another and still have time priority because it was sent out a few milliseconds earlier.

Cockroachdb created a go runtime patch which measures the Grunning time of a goroutine: https://github.com/cockroachdb/cockroach/pull/82356. It doesn't entirely solve the problem though.

Our entire backend is written in Go. We've built a platform that allows other companies to offer automatic data syncing to their customers' data warehouses. Go works great for building distributed systems like this (see K8s). We're not the only ones in the space building data intensive applications with Go. Pachyderm, Pinecone, Cockroach Labs and are all also doing it. We've been quite happy with how Go has worked for us.

RedisLess is an experiment to provide a fast, lightweight, embedded, and scalable in-memory Key/Value store library compatible with the Redis API. This project aims to check the feasibility of the principle listed above, and in a few days of works we succeed to have:

I hope you liked this article, and it gives you the appetite to try out Rust. If you have no idea how to start learning it, I would recommend reading the official free ebook. Then, trying to reimplement some good old academic (or not) algorithms and data structures in Rust. If you want to put your hands into dirty stuff, I can recommend contributing to my project Qovery Engine and RedisLess as well.

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.