Connector SDK
Modernize your data stack and accelerate your time to insights. Speak to a Fivetran representative to learn more about engaging services for your custom connector development.
Connector information
We're always happy to help with any other questions you might have! Send us an email at sales@fivetran.com.
Fivetran’s Connector SDK allows users to execute custom, self-written Python code within Fivetran's secure cloud environment. Extract data from proprietary or non-supported sources to your centralized data warehouse or data lake. Personalize your data structure, filter which data gets replicated, and take full control over how data appears in the target destination. This service eliminates the need to set up, deploy and manage cloud infrastructure to execute custom code.
Schema information
Setup video
“The SDK was a huge, huge surprise — in the best way. We expected to keep using Azure Data Factory for APIs because it was the only option. But once we saw what we could do with Fivetran’s Connector SDK, everything changed. We can now build custom connectors inhouse and respond to business needs much faster.”
Example use cases
Data models
FAQ
Why is the Fivetran Connector SDK so valuable?
The Fivetran Connector SDK gives organizations the ability to connect to niche and industry-specific source systems without native Fivetran connectors, internal APIs, and augment existing connectors or automated workflows with new data.
What coding language does the Fivetran Connector SDK use?
The Fivetran Connector SDK is compatible with Python code and Fivetran offers an example repository to see common code patterns or source system examples.
What destinations are available for the Fivetran Connector SDK?
All Fivetran supported destinations are compatible with the Fivetran Connector SDK.
Related resources
Fivetran Connector SDK: Unlocking every data source
4 use cases for Fivetran’s Connector SDK
Building AI-ready data infrastructure with Fivetran’s Connector SDK
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