Streaming

Rate limiting is built in: configure token buckets, sliding windows, or adaptive limits that respond to backpressure.

Batching is automatic—control it via `batch(100)` or `batch({ size: 50, timeoutMs: 1000 })` to trade latency for throughput.

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

The TypeScript types are fully inferred; no manual type assertions needed even with complex nested schemas.

Streaming

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.

await stream.on('user.created', async (event) =>  console.log(event.data.email); );

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