Fivetran Acquires SQLMesh Tobiko to Advance DataOps Framework
SQLMesh Tobiko acquired by Fivetran
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SQLMesh Tobiko
Undisclosed Amount
October 14, 2025

Fivetran
Fivetran has acquired SQLMesh Tobiko for an undisclosed amount, marking a significant strategic move into advanced data transformation and DataOps.
SQLMesh Tobiko is recognized for its open-source DataOps framework, SQLMesh, which enables data teams to efficiently transform data at scale, collaborate seamlessly on data changes, and rigorously test changes to data pipelines.
Tobiko's SQLMesh platform brings DevOps best practices to the world of data, offering state-aware tools that facilitate smart updates, optimized data builds, and cost-effective workflows.
It allows data professionals to debug transformation errors before they impact production, create isolated development environments with near-zero data warehouse costs, and gain deep insights through column-level lineage.
This architecture significantly improves efficiency by ensuring only necessary transformations are run, reducing wasted resources often seen in traditional data processing.
The company also offers Tobiko Cloud, which scales SQLMesh into an enterprise data platform, alongside SQLGlot, a battle-tested SQL validation tool.
This acquisition strategically positions Fivetran, a leading provider of automated data movement and integration solutions, to offer a more complete and powerful data stack.
By integrating SQLMesh Tobiko’s robust data transformation and DataOps framework, Fivetran can now provide an end-to-end solution that spans automated data extraction, loading, and sophisticated transformation with enhanced governance.
This decisive corporate acquisition is focused on augmenting Fivetran’s core product capabilities and expanding its market footprint, clearly distinct from a funding round.
The combination of Fivetran’s seamless, automated data integration with SQLMesh Tobiko’s intelligent, next-generation data transformation is expected to deliver unparalleled data quality, developer productivity, and significant cost savings for modern data teams.
The unified entity aims to empower organizations with more agile, reliable, and efficient data pipelines across diverse data platforms, enabling faster, more trustworthy insights and fostering improved data governance for its growing customer base.
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