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Fivetran Expands Connector SDK to Support Any Source Reliably

Fivetran

Connector SDK Expansion Enables Reliable, Secure Integration of Specialized and Hard-to-Reach Data Sources

Fivetran has announced a significant upgrade to its Connector SDK, now enabling developers to build custom connectors for virtually any data source with the same reliability and performance as Fivetran’s native connectors. This enhancement allows data teams to create secure, scalable pipelines for specialized or legacy systems without the need for extensive DevOps support. By writing connector logic in Python, developers can leverage Fivetran’s managed infrastructure, which handles deployment, orchestration, scaling, monitoring, and error handling. “When there isn’t a prebuilt connector, most teams end up building and maintaining custom pipelines themselves,” said Anjan Kundavaram, Chief Product Officer at Fivetran. “That DIY approach may seem flexible at first, but it often becomes a long-term burden with hidden costs in reliability, security, and maintenance. The Connector SDK changes that. Now, any engineer can build a custom connector for any source and run it with the same infrastructure, performance, and reliability as Fivetran’s native connectors.

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It gives companies the flexibility they need without the tradeoffs.” The SDK’s infrastructure ensures data is delivered reliably to destinations like BigQuery, Databricks, and Snowflake, handling retries, monitoring, and alerting. Babacar Seck, Head of Data Integration at Saint-Gobain, shared, “The SDK was a 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 in-house and respond to business needs much faster — all while seamlessly delivering data into Snowflake on Azure.” Fivetran is showcasing the enhanced Connector SDK at the Snowflake Summit 2025 and the Databricks Data + AI Summit 2025, highlighting its capabilities in building custom connectors for analytics and AI workloads. This development underscores Fivetran’s commitment to providing flexible, reliable data integration solutions for businesses navigating complex data environments.