From streaming data to decisions: in seconds
Built for the moments that matter
Fraud detection
Detect transaction anomalies by joining live event streams with historical behavioral patterns. Flag risk before the payment clears.
Operational dashboards
Give ops teams live views of what's happening right now, without burdening the data warehouse with low-latency refresh cycles.
Live personalization
Act on what customers are doing right now, not yesterday's batch. Join clickstreams with product catalog and purchase history in real time.
One query engine. All your data, live and historical
Starburst's Analytics Engine connects directly to your sources and joins them with your Iceberg data lakehouse in a single query. No Flink jobs to manage. No duplicate data stores. Predicate pushdown means only the events you care about cross the wire, and Schema Registry integration means your queries don't break when topics evolve.
Single SQL join · historical context included
Key capabilities
Ingest your data
Transactional guarantees on streaming ingestion so you never double-count or drop an event.
Sub-60s ingest latency
From event to query-ready in under a minute. No micro-batch delays, no Lambda architecture complexity.
Data federation with historical data
Enrich live streams with your Iceberg data lakehouse in one query. No separate lookup service required.
Schema Registry support
Native Confluent Schema Registry and AWS Glue integration. Topics can evolve without breaking your queries.