Arroyo is the easiest way to run SQL queries against your streaming data

Denis Bolkovskis

Mental Health

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Rust is an excellent choice for building data infrastructure due to its performance, control, safety, and ease of development. It offers excellent performance by default, thanks to zero-cost abstractions and optimizations. Rust's lack of garbage collection and compile-time memory management make it well-suited for stream processing systems. The Rust compiler's pedantic nature ensures code correctness, and the Cargo package manager and ecosystem make it easy to integrate third-party libraries. However, there are challenges such as the learning curve, the roughness of async programming in Rust, and the lack of a stable ABI.

Rust is the best language for data infra

A (short) history of languages for data infra

excellent choice != the best language.

Agree with <a href="https://app.daily.dev/zackarisl" data-mention-id="EZyuf0FWa" data-mention-username="zackarisl">@zackarisl</a> here, but it should also be noted that Rust is not a very good prototyping language either. If you’re prototyping what you think you want data infra to look like, I’d stick with Python until you know what you want to write.
Then switch over to Rust