Docs / Data sources / Auth0

Auth0

Business software

Built when you ask for it

Sync Auth0 users, logs, and identity 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 Auth0 connector syncs your identity and access data into analytics-ready tables in your data warehouse. Pull users, logs, clients, and roles from the Auth0 Management 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:

  • Users
  • Logs
  • Clients
  • Roles

How it gets built

  1. Choose Auth0 when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Auth0's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Auth0 itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

OAuth2 (client credentials). Register a Machine-to-Machine Application in the Auth0 Dashboard for a Client ID/Secret to authenticate against the Management API.

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 Auth0 connector?
Not as a finished connector yet. Ingest builds it from Auth0's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Auth0 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.

Auth0 API documentation: https://auth0.com/docs/api

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.

Request Auth0