Caution
WARNING: Extremely Experimental
rtimedb
is in a very early stage of development and is considered highly experimental. It is not suitable for production use. Please do not rely on this for any critical data or applications, as it may lead to data loss or other unexpected issues. This project is a playground for learning and exploration in the domain of time-series databases.
Welcome to rtimedb
, a long-term project written in Rust, aimed at building a real-time time-series database from scratch. This project is my journey through learning and experimenting with data storage and retrieval techniques for time-series data.
As of now, rtimedb
is exploring foundational concepts such as basic data insertion and retrieval, designing a simple yet effective storage format, and understanding time-based indexing. Just getting started, and there's much to learn and implement!
- Storage Exploration: Experimenting with different storage and indexing strategies.
- Data Ingestion: Simple API endpoints to ingest time-series data.
- Query Mechanism: Basic querying capabilities based on time and key.
This project is very much a work in progress, and I'm open to ideas, discussions, and contributions! Here's how you can get involved:
- Feedback: Suggestions on features, design, and technology choices are welcome.
- Code: Contributions to code, be it new features or bug fixes.
- Learning Together: Share resources, articles, and knowledge on time-series databases.
I'm thrilled to share that rtimedb
is supported by GitHub Sponsors! This sponsorship enables me to dedicate more time and resources to this project. If you find this project interesting or valuable and would like to support its development, consider sponsoring through GitHub Sponsors.
(Currently in development; instructions will be provided as features become stable.)
rtimedb
is an open-source project under the MIT License. See LICENSE.md for more details.
Got questions, feedback, or want to get involved? Feel free to reach out by filing an issue on GitHub, and I'll get back to you as soon as possible.
Thank you for your interest in rtimedb
, and a special thanks to GitHub and all the sponsors for supporting open-source projects like this one!