Timeplus Proton Documentation Learn how to build blazing-fast stream processing pipelines with the fastest SQL engine in a single binary. No JVM. No Zookeeper. Just speed, control, and scale.
Quick Start Get Proton running in seconds
Install Proton
Install Proton with a single command: curl https://install.timeplus.com/oss | sh
Or use Docker: docker run -d -p 8123:8123 -p 8463:8463 --name proton \ d.timeplus.com/timeplus-io/proton:latest
Start the Server
Launch Proton server and client: proton server # In one terminal proton client # In another terminal
On Mac, you can also use Homebrew: brew install timeplus-io/timeplus/proton
Run Your First Query
Create a stream and query real-time data: -- Create a stream with random data CREATE RANDOM STREAM devices( device string default 'device' || to_string( rand ()% 4 ), temperature float default rand ()% 1000 / 10 ); -- Query streaming data SELECT device, count ( * ), avg (temperature) FROM devices GROUP BY device;
┌─device──┬─count()─┬─avg(temperature)─┐ │ device0 │ 2256 │ 49.8 │ │ device1 │ 2260 │ 50.2 │ │ device3 │ 2259 │ 49.5 │ │ device2 │ 2225 │ 50.1 │ └─────────┴─────────┴──────────────────┘
Explore by Topic Deep dive into Proton’s capabilities
Architecture Understand how Proton processes streams with ClickHouse-powered performance
Streams Learn about streams, the core abstraction for real-time data processing
Windows Master tumbling, hopping, and session windows for time-based aggregations
Kafka Integration Connect to Kafka, Redpanda, and other streaming platforms with external streams
Materialized Views Build real-time dashboards with incrementally maintained aggregations
SQL Reference Complete SQL syntax reference for stream processing commands
Use Cases See what you can build with Proton
Real-Time ETL Build streaming data pipelines that transform and route data in real-time
Telemetry Pipeline Process logs, metrics, and traces with in-pipeline aggregation and alerting
AI Feature Pipeline Compute real-time features for machine learning models with low latency
Change Data Capture Stream database changes and maintain real-time replicas
Why Proton? The fastest, simplest stream processing engine
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Blazing Fast 90M events/sec with 4ms latency on commodity hardware. Written in C++ with SIMD optimizations.
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Lightweight Single binary under 500MB. No JVM, no Zookeeper. Runs on t2.nano with 0.5GB RAM.
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Native Kafka Support Query Kafka topics directly with external streams. No data copying required.
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SQL for Everything Streaming ingestion, JOINs, windows, materialized views, UDFs—all with standard SQL.
Ready to Get Started? Install Proton in seconds and start building real-time data pipelines with SQL
Start Building → Community & Support Get help and connect with other Proton users
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Examples Browse real-world examples and templates to get started faster
