toydb VS surrealdb

This is great, but you might want to consider a different name. There's already a Rust project called ToyDB, and it's a distributed database with a Raft log, SQL, disk persistence, ACID transactions, etc. It's under active development (though the developer now works at Cockroach Labs), and has 5K stars on GitHub, so I think they have the right to the name.

Build something you’d like to learn about. Things I’ve considered replicating: A distributed database (see https://github.com/erikgrinaker/toydb), an interpreter (crafting interpreters is a good book), a Ray tracer (http://raytracerchallenge.com/), an RPC compiler and framework, a simpler neural network framework ( https://github.com/pjreddie/darknet)…

Hilariously, I was trying out ToyDB on the Lichee-RV recently. While it does compile and run the five-node example setup (and memory usage is surprisingly low, which is a plus considering the 0.5GB of RAM), performance is three orders of magnitude lower than on a desktop x86 PC. Some of that is due to just having a single core run 5 nodes, some is due to the lower clock speed and slower memory, and some is due to slower storage (SD card). I don't think that explains everything, so I may investigate that later.

toydb

Well I think if you could replicate this https://github.com/erikgrinaker/toydb anybody would hire you.

you should add https://surrealdb.com -- basically an open source firebase. and they will launch a paid cloud offering soon.

In this article, I have shared how I have built a simple task-tracking full-stack application using NextJS and SurrealDB.

In this article, I'll show you how you can create a binary package for your desired program. I wanted to download the SurrealDB package, but the package on nix was a source package, meaning that I had to spend over 50 minutes waiting for a stupid package to compile.

Get Cloud Version going!

SurrealDB comes with a LIVE SELECT statement that allows you to listen for creations, updates and deletions to specific records you are interested in or entire tables. While you could already take advantage of this powerful feature with our JavaScript SDK or WebSockets, the Rust SDK added an API for it in v1.1.0. ​ The Rust API for live queries builds on top of the already existing select method by simply adding a live method which converts the select query into a live select one. It works seamlessly with our current API, so you can use it with single records, a range of records, or entire tables. Unlike the normal select method which returns either a single result or a vector of results, it returns a stream of notifications. This works for the WebSocket engine and the local ones (the key value stores you can embed in your app). The only engine not yet supported is the HTTP one. ​ In this article, we show some examples of running live queries via the Rust SDK. We will skip imports for brevity but your IDE and/or the Rust compiler should give you the correct suggestions. Please refer to this example in our repo for a full, working example. ​

1.0 version but https://github.com/surrealdb/surrealdb/issues/1548 is still open :)

In the midst of a dynamic landscape of exciting new projects, one name shines bright — SurrealDB.