Fivetran Expands Connector SDK to Support Any Source With Native-Grade Reliability and Performance

Fivetran, the global leader in data movement, today announced that its Connector SDK now supports custom connectors for any data source. With this update, developers can build reliable pipelines for even the most specialized or homegrown systems, eliminating data gaps and making it possible to centralize all of a company’s data in one place. This ensures that critical information — regardless of where it lives — can be used to drive analytics, AI, and business decisions with confidence.

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With the Connector SDK, datateams can build reliable, secure pipelines for virtually any application, internal API, or legacy system. Developers write the logic in Python, and Fivetran manages the infrastructure, including deployment, orchestration, scaling, monitoring, and error handling. Most connectors can be built and deployed in just a few hours, without the need for DevOps support or custom infrastructure.

“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. It gives companies the flexibility they need without the tradeoffs.”

The SDK uses the same infrastructure that powers Fivetran’s fully managed connectors. It handles retries, monitoring, and alerting to ensure data is delivered where it is needed, whether that is BigQuery, Databricks, Snowflake or another destination.

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“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,” said Babacar Seck, Head of Data Integration at Saint-Gobain. “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 Connector SDK this week at Snowflake Summit 2025 (Booth #1809) and next week at Databricks Data + AI Summit 2025 (Booth #E4519), and highlighting how data engineers can build custom connectors to move data into their cloud destination for analytics and AI workloads.

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