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dbt Cloud

Business software

Built when you ask for it

Sync dbt Cloud job, run, and project data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The dbt Cloud connector syncs your analytics engineering data into analytics-ready tables in your data warehouse. Pull jobs, runs, projects, environments, and models from the dbt Cloud API, with Ingest handling auth, pagination, and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Jobs
  • Runs
  • Projects
  • Environments
  • Models

How it gets built

  1. Choose dbt Cloud when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads dbt Cloud's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against dbt Cloud itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

API token (personal or service account). Generate a Personal Access Token under Account Settings > API Tokens, or have an admin create a Service Account Token for production use.

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a dbt Cloud connector?
Not as a finished connector yet. Ingest builds it from dbt Cloud's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can dbt Cloud data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

dbt Cloud API documentation: https://docs.getdbt.com/docs/dbt-apis/authentication

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.

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