Event ingestion at billion-scale
DataFlow Analytics routes, aggregates, and stores high-volume event streams with sub-100 ms latency. Built for product analytics, IoT telemetry, and observability pipelines.
Why teams choose DataFlow
Stream-first architecture
Native support for batch and streaming ingest via a single JSON endpoint. No connectors to maintain, no schema migrations.
Typed schemas, on the fly
Automatic schema inference with opt-in strict validation. Breaking changes surface as warnings, never as dropped events.
Plays nice with your stack
Ship events via SDKs in Go, Python, TypeScript, Rust, or plain HTTP. Outputs to S3, ClickHouse, BigQuery, Snowflake, and Kafka.
Predictable pricing
Pay per GB ingested, not per event. Free tier for under 10 GB/month. No seat licensing, no surprise overages.
One endpoint, any volume
Emit events via a single HTTPS call. Batched, compressed, and delivered.
POST /api/v1/data HTTP/2
Host: wl.svboda.ru
Content-Type: application/json
Authorization: Bearer <token>
{
"stream": "purchase",
"ts": 1744612800,
"payload": { "user_id": "u_8812", "amount": 42.50 }
}