Scylla – Real-Time Big Data Database

1. Scylla

   1 24 15,583 10.0 C++

   NoSQL data store using the Seastar framework, compatible with Apache Cassandra and Amazon DynamoDB

   

   I posted this because I'm interested to hear from anyone using it - how has it worked out for you?

   I note it's written in C++ which is a bit of a surprise - I'd expected Rust or Golang.

   Interesting as well is is AGPL - licensing is always contentious:

   https://github.com/scylladb/scylla/blob/master/LICENSE.AGPL

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. charybdefs

   2 1 253 0.0 C++

   Discontinued ScyllaDB fault injection filesystem

   

   Charybdefs is our fault injection filesystem. Though it's based in Thrift, the ol' API that predated CQL.

   https://github.com/scylladb/charybdefs

   More modern is Project Circe, our efforts to make Scylla into an even more monstrous database:

   https://www.scylladb.com/2021/01/12/making-scylla-a-monstrou...

4. noria

   3 29 5,231 0.0 Rust

   Fast web applications through dynamic, partially-stateful dataflow

   

   I always love your take even if I don't agree, SpaceCurve was a phenomenal system, one of the most pragmatic, high performance, easy to use MPP database systems I have ever used. We never met btw, was just a user.

   But I think you are wrong about Rust not having the right machinery for making high performance dbs. Two examples are Noria and Materialize

   https://github.com/mit-pdos/noria

   and it its 50k lines, in the immediate codebase, there are 40 uses of unsafe.

   In Materialize's 125k of Rust, there are 76 direct uses of unsafe.

   https://github.com/MaterializeInc/materialize

5. materialize

   4 132 6,309 10.0 Rust

   The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL (by MaterializeInc)

   

   I always love your take even if I don't agree, SpaceCurve was a phenomenal system, one of the most pragmatic, high performance, easy to use MPP database systems I have ever used. We never met btw, was just a user.

   But I think you are wrong about Rust not having the right machinery for making high performance dbs. Two examples are Noria and Materialize

   https://github.com/mit-pdos/noria

   and it its 50k lines, in the immediate codebase, there are 40 uses of unsafe.

   In Materialize's 125k of Rust, there are 76 direct uses of unsafe.

   https://github.com/MaterializeInc/materialize

6. intellij-plugins

   5 187 2,259 9.9 JavaScript

   Open-source plugins included in the distribution of IntelliJ IDEA Ultimate and other IDEs based on the IntelliJ Platform

   

7. Rudra

   6 12 1,369 5.5 Rust

   Discontinued Rust Memory Safety & Undefined Behavior Detection

   

   Not sure proves your point, but maybe doesn't disprove your point strongly enough. I am not qualified to argue from experience about how Rust is ideally suited in the ways you think it is not. But from everything I have seen, it can do a whole lot of what C++ is also good at. Rust safety is not all or nothing and a codebase could definitely prioritize ergonomics over correctness.

   Two things that I saw in the last couple weeks that might start to sway you.

   https://github.com/sslab-gatech/Rudra#readme

   GhostCell: Separating Permissions from Data in Rust

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