Real-Time and Event-Driven Analytics

Event data arrives as a stream of little truths: clicks, sensor ticks, app beacons, payments, and detections. Snowflake’s columnar engine and services layer let you land that firehose, query it within seconds, and fold it into marts without building a second “speed layer.” The operating model is simple: ingest continuously, enrich lightly, publish stable, prunable tables for downstreams, and keep late/out-of-order behavior deterministic. Where milliseconds matter, push ingestion to Snowpipe Streaming; where minutes are fine, auto-ingest files. Either way, the same SQL powers both real-time views and historical rollups, so you don’t fork logic.