Connector SDK Expansion Enables Reliable, Secure Integration of Specialized and Hard-to-Reach Data Sources
Fivetran, the global leader in data movement, announced a major enhancement to its Connector SDK: support for custom connectors across any data source. This new capability allows developers to build robust data pipelines for even the most unique or homegrown systems, enabling organizations to consolidate all of their data in a centralized location. With comprehensive access to data, businesses can confidently power analytics, artificial intelligence (AI), and data-driven decision-making.
The updated Connector SDK empowers data teams to create secure, reliable pipelines for virtually any application, internal API, or legacy system. Developers simply write the integration logic in Python, while Fivetran handles all infrastructure needs — from deployment and orchestration to scaling, monitoring, and error resolution. Most custom connectors can be built and launched within just a few hours, eliminating the need for dedicated DevOps resources or custom infrastructure solutions.
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“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.”
Built on the same foundation that powers Fivetran’s fully managed connectors, the SDK ensures high performance and data integrity. It manages retries, monitors for issues, and provides real-time alerting — ensuring data flows smoothly to leading cloud destinations like Google BigQuery, Snowflake, and Databricks.
“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.”