Fivetran
Fivetran's REST API describes the pipelines it manages: connections and their sync history, destinations, users, and the usage behind the monthly bill. Usage is measured in monthly active rows, so cost follows data volume. In the Lake, sync history and usage per connection show which sources cost the most and which ones fail or run late.
- Category
- Cloud & Data Platforms
- Type
- Data integration
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password
02Data
What you can sync.
- Connections
- Sync history
- Destinations
- Usage
- Users
Load Fivetran connections into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Fivetran data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
Fivetran uses a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in Fivetran if you need help.
04Questions
Questions you can answer.
Once Fivetran data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which connections drove the change in monthly active rows this month?
- Which syncs failed or were delayed more than twice this week?
- What does each source cost per month compared with how often its tables are queried?
- Which connections have been paused for more than 30 days but still exist?
05How it works
How it works in DataMind.
-
Pick Fivetran.
Open Lake, pick Fivetran in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Fivetran API docs.
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Answer a few questions.
The AI reads the Fivetran documentation, then asks which credentials you will use, which data to sync (for example connections and sync history), 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 Fivetran data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Fivetran.
Sources teams join with Fivetran in the Warehouse, each one connected the same way.
