Ingest data from 600+ sources into BigQuery with automatic schema management, historical backfills, and incremental syncs.
Most teams we talk to need to get business data into a warehouse for enrichment, analytics, to feed AI initiatives, etc.
But when every object needs its own hand-built flow, a schema change (even something small like a re-named field!), breaks the flow.
We've replaced that with one data pipeline that's schema-adaptive, which means it detects source schema changes and adjusts automatically. It runs continuously, syncing hundreds of objects at once, into your warehouse. No engineering resources necessary!
Set up data ingestion once with a few clicks, in the platform you already use. Then use reverse ETL to push the results out of your warehouse and into your business applications.
If you found this clip helpful, register for our next Quarterly Platform Highlights webinar on 11/12. Sign up here to keep up with how Celigo can help you build faster, connect more, and bring AI into real business workflows.