About Ingest
Ingest (IngestData.ai) is a managed data pipeline service. You point it at a source and at a warehouse or lake you own. Ingest builds the connector, runs the pipeline, and lands typed, deduplicated tables that it keeps current on the schedule you choose.
What does Ingest do?
It connects any API of a supported type (REST, GraphQL, SOAP, gRPC, WebSocket, files and SQL databases), including niche APIs no catalog covers: a connector that does not exist yet is built when a customer asks for it. The tables land in your own destination, such as Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse or your own S3 bucket. The docs list every destination and the sources Ingest connects.
What do we believe?
The data a team acts on should be complete, with every row that should be there, and accurate, with every row saying what the source said. That is the bar the product is built to, and the reason a pipeline that cannot prove it fails loudly instead of quietly.
How does Ingest work?
- Your warehouse holds your data. The rows, the pipeline's saved position and the schema history all live in your destination, not with Ingest. The tables Ingest creates says what lands and why.
- An agent builds the connector, and a person publishes it. Ingest reads the vendor's documentation, writes the connector as a declarative spec rather than code, and tests it against the real API. A person at Ingest reviews it before any pipeline runs on it.
- A failure is never a green run. Zero rows where rows were expected, an error hidden in a successful response, a state that cannot be restored: each fails the run and says why, on the page where you work.
Who is behind Ingest?
- Nick Payiatis, Co-founder & CEO
- Ryan Loofbourrow, Co-founder & CTO
How do I reach Ingest?
Email support@ingestdata.ai, or find us on LinkedIn and X. To try it, create an account; the free trial is three runs.