Keboola
Czech data operations platform for extraction, transformation and storage, with Storage and Jobs APIs for tables and runs.
- Category
- Cloud & Data Platforms
- Type
- Data integration
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- Keboola API docs
02Data
What you can sync.
- Storage tables
- Jobs
- Configurations
- Flows
Load Keboola storage tables into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Keboola data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Keboola uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Keboola if you need help.
04How it works
How it works in DataMind.
-
Pick Keboola.
Open Lake, pick Keboola in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Keboola API docs.
-
Answer a few questions.
The AI reads the Keboola documentation, then asks which credentials you will use, which data to sync (for example storage tables and jobs), 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 Keboola data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
