Acquisition brings advanced, multi-engine transformation and open source innovation into Fivetran’s governed platform, helping organizations prepare and activate trusted data for AI
Fivetran, the global leader in automated data movement, today announced it has acquired Tobiko Data, the open source transformation company behind SQLMesh and SQLGlot. With the acquisition, Fivetran strengthens its position as the only fully managed, end-to-end platform that combines data movement, transformation, and activation – making it easier for customers to deliver governed, AI-ready data with speed and scale.
Tobiko Data’s technology was built for modern, production-grade environments where speed, adaptability, and efficiency are critical. Its intelligent transformation engine eliminates unnecessary runs, enabling teams to test, validate, and deploy updates faster while lowering compute costs. Built-in development environments and semantic SQL understanding further reduce overhead, improve reliability, and unlock time and cost savings.
“Our customers are under pressure to deliver trusted data faster, across more teams, and into more environments,” said George Fraser, CEO of Fivetran. “With Tobiko Data, we’re expanding our transformation capabilities to meet that demand – and doing it with an open foundation that encourages transparency, innovation, and interoperability.”
“We built Tobiko Data to make data transformation more collaborative, transparent, and predictable,” said Tyson Mao, co-founder of Tobiko Data. “By joining forces with Fivetran, we can scale these capabilities globally and help customers turn transformation into a strength.”
This marks Fivetran’s second acquisition of the year, following its acquisition of Census to expand into reverse ETL. Last year, Fivetran surpassed $300 million in annual recurring revenue, expanded its Connector SDK to help developers build high-quality production connectors, and launched Hybrid Deployment to support pipelines across private cloud and on-premises environments. Fivetran also expanded its Managed Data Lake Service to support Amazon S3, Azure Data Lake Storage, Microsoft OneLake and Fabric, and Google Cloud Storage. The service integrates with all major data catalogs and supports open table formats like Iceberg, helping enterprises build governed, AI-ready data lakes at scale.
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