Introducing data tracks: realtime streaming beyond audio and video

LiveKit's new data tracks feature expands its real-time track infrastructure, initially designed for audio and video, to accommodate binary data from sources like sensors and control systems. This allows for applications such as teleoperation, sensor data streaming, and telemetry, with the same low latency and high throughput as media tracks. Data tracks enable efficient bandwidth management through selective forwarding, ensuring only subscribed participants receive the data, which is crucial in poor network conditions. The infrastructure supports features like user timestamps for latency measurement and allows numerous tracks to be published simultaneously due to their lightweight nature. The internal process involves non-blocking frame push, end-to-end encryption, packetization, and selective forwarding to subscribers, maintaining efficient bandwidth usage. Data tracks are supported across various SDKs, including JavaScript, Rust, Python, C++, and Unity, with more support forthcoming, and detailed setup and API information is available in the documentation.

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