Airbyte
Airbyte's API describes the pipelines a team runs: workspaces, sources, destinations, connections and every sync job with its status, records and bytes moved. That is operational metadata about data movement. In a Lake beside transformation runs and BI usage, Airbyte job history shows which syncs fail, how fresh each source is, and which downstream reports a failed sync affects.
- Category
- Cloud & Data Platforms
- Type
- Data integration
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, OAuth 2.0
- Docs
- Airbyte API docs
02Data
What you can sync.
- Connections
- Jobs
- Sources
- Destinations
- Workspaces
Put Airbyte connections next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Airbyte data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- OAuth 2.0 (client ID, client secret, refresh token)
Airbyte uses an access token or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Airbyte if you need help.
04Questions
Questions you can answer.
Once Airbyte data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which connections failed more than twice in the last week, and which tables did they feed?
- How has records synced per day changed for each source over the quarter?
- Which connections have not had a successful sync in 24 hours?
- How long do sync jobs take by source, and which ones are getting slower?
05How it works
How it works in DataMind.
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Pick Airbyte.
Open Lake, pick Airbyte in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Airbyte API docs.
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Answer a few questions.
The AI reads the Airbyte documentation, then asks which credentials you will use, which data to sync (for example connections and jobs), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Airbyte data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Airbyte.
Sources teams join with Airbyte in the Warehouse, each one connected the same way.
