Introduction

µQuery (micro query) is a lightweight data querying solution designed for various file formats, including CSV, JSON, and Parquet. Developed in Rust, this micro-sized project harnesses the power of DuckDB. Here’s a quick overview:

1. Format-Agnostic: µQuery seamlessly handles diverse data formats, making it easy to query and manipulate your files.
2. Serverless Deployment: Deploy µQuery effortlessly on platforms like AWS Lambda or Google Cloud Functions. No infrastructure headaches—just focus on your data!
3. Rust-Powered Efficiency: Built with Rust, µQuery ensures high performance, memory safety, and efficient execution of queries.
4. DuckDB Integration: Leverage DuckDB’s embedded SQL engine for direct SQL queries on your data.

In summary, µQuery empowers data enthusiasts to work with legacy files efficiently, all while embracing microservice & serverless approach. Dive into the world of µQuery and unlock seamless data exploration! 🚀