A Time series Database built on Rust to handle Petabyte Scale Data
Introducing SALT
- Scalability
- Adaptability
- Low Latency
- Throughput
By Integrating this principle, We aim to create a faster and cheaper database with latest technology that can meet the demand of the future applications.
- Build the next gen fastest timeseries database
- Push the limits to 100+ Million Events / second on avg spec machine
- High Scalability & Throughput with minimum cost & latency
- Design to store huge data with millions of events concurrently
- True Low code development for more optimization & control
- Develop a simple protocol & storage engine
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cargo run init <db name> <keeper>for creating chrono db -
cargo run start <db name>for starting chrono db -
copy the creds printed & connect with the golang driver for using chrono db
If you get any issues, try with sudo/admin access, for further issues, reachout on the community server.
We will be soon releasing download support for linux systems.
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KEEPER is admin/user/database manager
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EVENTS are the time based records stored with header & body
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STREAM is collection of events, which can in traditional databased called table
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CHRONO is the database itself which is collection of streams
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Event Format
TIME HEADER BODY -
Data is being stored in
/var/lib/citra/chrono -
Credentials are being stored in
~/.citra/chrono
- Encryption & Decryption of file
- Read filters & queries
- Better Impl for data storage & streaming data
- Parser & Validation for write
- Concurrency & I/O Optimizations
- Impl of B'Trees & hash for files
- Impl of time based binary search for searching
- Indexer, Sharding, testing and much more
To be announced soon....
To be announced soon....
To be published soon....
THIS DATABASE IS STILL UNDER DEV, HAS LOT OF BUGS & IMPROVEMENTS TO BE DONE
FEEL FREE TO OPEN A ISSUES & GET YOUR PR MERGED