ADP
Business software
Sync ADP worker and pay statement 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 ADP connector syncs your payroll and HR data into analytics-ready tables in your data warehouse. Pull workers and pay statements from the ADP 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:
- Workers
- Pay statements
How it gets built
- Choose ADP when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads ADP's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against ADP itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
OAuth2 (client credentials) + mutual TLS. Log into ADP API Central, generate a mutual SSL certificate, and start a project to receive OAuth2 client credentials.
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 ADP connector?
- Not as a finished connector yet. Ingest builds it from ADP's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can ADP 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.
ADP API documentation: https://developers.adp.com/
Where this would land, and what else connects
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.