Data

Hydro is a high-level distributed programming framework for Rust. Hydro can help you quickly write scalable distributed services that are correct by construction. Much like Rust helps with memory safety, Hydro helps with distributed safety. Hydro also makes it easy to get started by running your distributed programs in either testing or deployment modes.

We built our system in Rust early on and recently did a deeper performance comparison of four languages in AWS Lambda functions.

I've been trying to learn Rust for the better part of this year. My curiosity peaked a few years back...

Official Rust implementation of Apache Arrow. Contribute to apache/arrow-rs development by creating an account on GitHub.

Today we are happy to officially announce that InfluxData has donated a generic object store implementation to the Apache Arrow project. #influxdb

How to view Apache Parquet Dataset Metadata using Rust

Welcome to the introduction of my article series “Data Engineering With Rust And Apache Arrow DataFusion.”

A developer focused post explaining how to write to a Delta table in Rust using the Apache Arrow RecordBatch data structure.

A series of post to show Rust Frameworks that permits work in Big Data area. In total there are 3 posts: this with introduction with part…

Closer look at one of the fastest Dataframe library at the moment

There is a certain hype going around Rust, how it will replace Python in the coming years and how it it has a better sustainability score…

What I learned over a weekend of building and learning

Exploring The World of Rust’s Polars, Series, and Beyond