shuttle VS Metabase

Moreover, I especially like where Rust is right now in the web space. It really feels like there’s a lot of smart people working on the next generation of web development tools - it feels like the place to be. There are a range of great open-source web dev tools that are just reaching critical levels of maturity. Axum, which I used to build Prodzilla, feels ready for out of the box web dev, and is crazy-performant, as I write about later. More recently available is Loco, a Rails-like framework for building web applications in Rust that's picking up steam. And in dev-tooling and hosting there’s Shuttle, a 1-line hosting solution for Rust backends.

cargo-shuttle is Shuttle's own CLI for interacting with the Shuttle platform. Within the src folder, you will be able to get a better sense of how you can organise your folders/files for a larger CLI project for a live service. There is also use of async here with tokio, so if you're interested in learning how to get started with using clap with async services (for example setting up an async client for a database service), this would be a perfect opportunity to learn to do so!

https://github.com/shuttle-hq/shuttle/tree/main/services/shuttle-axum https://docs.rs/shuttle-axum/0.34.1/src/shuttle_axum/lib.rs.html#1-78

It would be great if there are some kind of code snippet on the README that really demonstrate the "ship backends without writing infra" feature that I think is one of the unique feature of shuttle. I remember seeing one on the official website (https://shuttle.rs) that left me impressed.

Shuttle is currently accepting entries for a competition, with the best projects being featured at our booth at the [EuroRust](eurorust.eu/) conference this year.

Reading here https://shuttle.rs may be nice to try for the future.

At Shuttle, we've teamed up again with Stefan Baumgartner, the organizer of Rust Linz and author of 'Typescript in 50 lessons', to host a free workshop titled "Rust for Javascript Developers: Building apps that utilize LLMs".

The community being built at https://shuttle.rs is extremely open and welcoming. I’ve yet to do anything on the main code base, but I’ve helped with the docs.

At Shuttle we’ve teamed up with Stefan Baumgartner, the organizer of Rust Linz, to create a newsletter series that takes a slightly different approach towards learning Rust.

Remote Code Execution via H2

We've used it for about a year - Blazer is okay if you need a quick SQL query console, but we found it lacking as an actual business intelligence tool. The support for graphs and dashboards is limited, for graphs it requires you to structure the query in an exact way as you can see in the Blazer readme.

After some research on available alternatives that don't break the bank, we decided to deploy a self-hosted instance of Metabase[0]. This took only a few minutes to set up using their Docker image[1] and it has much better graphing capabilities and you can easily put a custom layout together for dashboards. Upgrading is similarly easy (just redeploy). Also easy to configure: data sources, hiding or changing the data type of a column, G Suite sign-in for our domain. Highly recommend it if you need anything more than Blazer's table output.

[0]: https://github.com/metabase/metabase

I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us.

It seems folks want a working example. Here's one in prod:

Metabase is a BI tool, backend written mostly in Clojure. Like basically all BI tools they have this intermediate representation language thing so you write the same thing in "MBQL (metabase query language)" and it theoretically becomes same query in like, Postgres and Mongo and whatever. End user does not usually write MBQL, it's a service for the frontend querybuilding UI thing and lots of other frontend UI stuff mainly in usage.

Whole processing from MBQL -> your SQL or whatever is done via a buncha big-ass transducers. Metabase is not materially faster than other BI tools (because all the other BI tools do something vaguely similar in their langs) but it's pretty comparable speed and the whole thing was materially written by like 5 peeps

https://github.com/metabase/metabase/blob/master/src/metabas...

(nb: I used to work for Metabase but currently do not. but open core is open core)

They haven't released the source, and the compiled versions are non-trivial to diff (e.g. there are nondeterministic numbers from the clojure compiler that seem to have changed from one to the other, and .clj files have been removed from the jar).

The old version has `hash=1bb88f5`, which is a public commit: https://github.com/metabase/metabase/commit/1bb88f5

We are unsure about the right license to use, so this is a great feedback. We had a MIT license one week ago that we know that we cannot hold on long term and we felt we were lying to the community by keeping an MIT license and changing it in one year.

By using AGPL, we feel it's the right level of restriction. It's the license used by Metabase for example (https://github.com/metabase/metabase) that many companies use internally.

The solution really depends on what sort of problems you are trying to solve and who your customers are.

There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/

For multipurpose SMB workflows and organisational processes, I have used n8n in the recent past and found it was quite good and incredibly easy to maintain. https://n8n.io/engineering-resources/

For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience). Although only parts of their platform are OSS https://github.com/camunda

Bear in mind that some of these are not suitable if you want to build something that competes with them while taking their OSS code. But are perfectly fine otherwise.

Anyway, I have a collection of scripts that merge ActivityWatch data from all my machines and WakaTime exports to a PostgreSQL database which I then query with a project called Metabase. If you're curious, the scripts are in a repository called sqrt-data. I've been playing with this for ~4-5 years already I think.

Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers

Metabase is open source analytics software that lets anyone in your company rummage around in the databases you have. It connects to a number of databases / data warehouses (BigQuery, Redshift, Snowflake, Postgres, MySQL, etc).