Castor EDC
Business software
Sync Castor EDC study, participant, and record 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 Castor EDC connector syncs your clinical trial data into analytics-ready tables in your data warehouse. Pull studies, participants, forms, and records from the Castor EDC 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:
- Studies
- Participants
- Forms
- Records
How it gets built
- Choose Castor EDC when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Castor EDC's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Castor EDC itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
OAuth2 (client credentials). Generate a Client ID/Secret from Account > Settings > Castor EDC API inside your Castor account.
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 Castor EDC connector?
- Not as a finished connector yet. Ingest builds it from Castor EDC's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Castor EDC 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.
Castor EDC API documentation: https://data.castoredc.com/api
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.