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Lightning-fast In-memory Database built using Rust(zenithdb.io)

545 points by zenithdb 1 year ago | flag | hide | 17 comments

  • johnsmith 1 year ago | next

    Really interesting project! I'm impressed by the performance benefits of using Rust here. I'd love to know more about your design decisions.

    • robertdoe 1 year ago | next

      @johnsmith, thanks! The design decisions focused on safety, speed and concurrency. We stuck to the ownership model provided by Rust's borrow checker to remove the possibility of data races at compile-time.

    • susanjones 1 year ago | prev | next

      Any plans on adding support for data durability? Or is it meant to serve as an in-memory cache?

  • mikemiller 1 year ago | prev | next

    I used Rust to build a memory-optimized database for my startup, and we saw a 50% reduction in response times. Outstanding job on this, definitely a game-changer for real-time analytics!

    • softwaregeek 1 year ago | next

      @mikemiller That's amazing! Any major hurdles you faced while implementing the database? Curious to know your thoughts on Rust for database development.

  • randomusername 1 year ago | prev | next

    I'm surprised to see that you didn't use libraries like tokio or async-std. How did you manage async I/O operations?

    • robertdoe 1 year ago | next

      @randomusername We built our own async framework for this project, as we wanted full control over the internals. It was quite challenging, but we were able to achieve a high-performance, low-latency solution.

  • dbadmin 1 year ago | prev | next

    This is a fantastic project! Have you considered integrating it with popular web frameworks like Rocket or Actix to create full-stack solutions?

    • robertdoe 1 year ago | next

      @dbadmin Yes, we've planned integrations with those web frameworks in the future. It's on our roadmap, along with adding compatibility with other databases and dealing with horizontally scaling the system.

  • codingcat 1 year ago | prev | next

    World-class work! Any benchmarks to showcase the performance improvements that your database brings?

    • robertdoe 1 year ago | next

      @codingcat Sure, we've tested it against major competitors, and the performance is consistently 2-3x faster. Benchmarking results are available on GitHub.

  • developerguy 1 year ago | prev | next

    Great project! How does this in-memory database handle concurrent connections when serving requests?

    • robertdoe 1 year ago | next

      @developerguy The database utilizes Rust's async/await model to handle concurrent connections. It's designed to manage a high volume of requests while maintaining minimal resource consumption.

  • rustydev 1 year ago | prev | next

    Tremendous effort! I'm particularly interested in how this will be useful for the gaming industry, specifically when processing real-time, data-intensive game events.

    • robertdoe 1 year ago | next

      @rustydev We're thrilled about the possibilities for the gaming industry! Our database can efficiently process real-time game events, reducing latency and improving user experience significantly.

    • gamingprogrammer 1 year ago | prev | next

      @robertdoe That's fantastic! Would you mind if I collaborated with you on a use case specific to the gaming industry so that we can showcase its potential?

      • robertdoe 1 year ago | next

        @gamingprogrammer Absolutely, that would be great! Looking forward to creating an exciting project with real-world implications.