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CnosDB is An Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.
CnosDB Isipho is an original new version of CnosDB which use Rust, Apache Arrow and DataFusion to build.
To design and develop a high performance, high compression ratio, highly available, distributed cloud native time series database, which meets the following objectives.
- Separate storage and computation; theoretically uncapped support time series expansion; support horizontal/vertical scaling.
- Focus performance and cost balance; high performance io, Run-to-Completion scheduling model, support for hierarchical storage using object storage.
- Lossy compression with reduced precision at the user's option.
- Implemented query engine by using Apache Arrow and Datafusion.
- Support for vectorized execution of the query engine to execute complex query statements.
- Support for standard SQL, Flux, rich aggregate queries and arithmetic.
- Design for multi-tenant-oriented, providing more configuration parameters, able to provide more flexible configuration of resources.
- CDC, WAL can provide subscription and distribution to other nodes, more flexible deploy and support.
- Support Ecological compatibility with the K8s ecosystem, reducing shared memory.
- Integration with other data ecosystems to support import/export of parquet files.
- Be compatible with major international and domestic public cloud ecosystems.
- Click to view Roadmap
All developers/users who love time series databases are welcome to participate in the CnosDB User Group. Scan the QR code below and add CC to join the group.
Please check Instructions for joining the group beforehand.
- To compile the code by hand, please refer to Quick Start。
- Please refer to Contribution Guide to contribute to CnosDB.
- If you want to get a job of full-time/part-time/intern, please send us resume by email hr@cnosdb.com