Timeplus' streaming analytics engine is now open source! Read our press release.
Build with Timeplus Open Core.
Proton is the core engine of Timeplus, now open source.
Try it yourself:
1. Launch with Docker
After installing Docker engine in your OS, pull and run the latest Proton docker image. Run the 'proton-client' tool in the Docker container to connect to the local Proton server.
docker run -d --pull always --name proton ghcr.io/timeplus-io/proton:latest
2. Create Sample Data
In the Proton client, run SQL to create a new stream with generated data.
CREATE RANDOM STREAM s(raw string default 'device'|| to_string(rand()%4))
3. Run Query
Try running a query with this sample dataset. for example:
SELECT raw, count() FROM s GROUP BY raw
4. Clean Up
To stop the query, press CTRL+C, and run:
DROP STREAM s
Clean up everything using:
docker stop proton && docker rm proton
Showcases
Tackle use cases where real-time analytics make all the difference.
Capital Markets
Turn real-time market and transaction data into real-time insights. Leverage append-only streams and key-value streams to monitor financial data.
IoT
Gain real-time visibility into IoT operations, such as fleet management, using only SQL.
