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Metrics are published to standard formats (Prometheus, CloudWatch, DataDog) with zero configuration.

Each event flows through a series of transformation stages, with built-in support for filtering, mapping, and conditional routing.

const batch = stream.pipe(filter((e) => e.type === 'payment'), batch(100), debounce(5000));

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.

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The core querydb object is a lightweight wrapper that manages the lifecycle of your event stream.

const throttled = stream.throttle( rps: 100, burst: 200 ); const deduplicated = stream.dedup( key: 'event.id', window: 60000 );

Error handling is explicit: catch failures at any stage, log them, and route bad events to a dead-letter queue without stopping the main pipeline.