Rust‑Based Time‑Series Database Claims 4.5× Speed Boost Over DuckDB and Polars

A Reddit post introduced a time‑series database written in Rust aimed at quant finance. The creator reports performance up to 4.5 times faster than DuckDB and Polars. The database is optimized for high‑frequency data ingestion and analysis. It leverages Rust’s memory safety and concurrency features for speed. Benchmarks compare query latency and throughput across the three systems. The project is open‑source and invites contributions from the community. Early adopters can test the database using the provided example datasets. If the claims hold, the tool could become a preferred option for quantitative analysts.