Datafold
Data engineering automation for data diffing, CI testing and migrations, with an API for data diffs, monitors and CI runs.
- Category
- Cloud & Data Platforms
- Type
- Data observability
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
02Data
What you can sync.
- Data diffs
- Monitors
- Ci runs
- Lineage
Load Datafold data diffs into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Datafold data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Datafold uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Datafold if you need help.
04How it works
How it works in DataMind.
-
Pick Datafold.
Open Lake, pick Datafold in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Datafold API docs.
-
Answer a few questions.
The AI reads the Datafold documentation, then asks which credentials you will use, which data to sync (for example data diffs and monitors), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Datafold data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
