Coalesce was founded in 2020 by veterans of the data warehousing world to modernize how teams transform data inside the cloud warehouse. The traditional choices, hand-writing thousands of lines of SQL or wrestling with rigid GUI ETL tools, both break down at scale: SQL becomes unmaintainable and GUI tools sacrifice flexibility. Coalesce's thesis is that transformation should be both visual and code-first, with metadata-driven automation handling the repetitive parts.
Built specifically for Snowflake, Coalesce gives data engineers a column-aware interface where they can build and modify pipelines visually while the platform generates clean, version-controlled SQL underneath. Reusable transformation patterns, called nodes, let teams standardize common modeling steps and apply changes across hundreds of tables at once. Because everything is metadata-driven, documentation, lineage, and impact analysis are generated automatically rather than maintained by hand.
The platform integrates with Git for version control and supports full CI/CD workflows, so transformation code moves through development, testing, and production with the same discipline as application code. Coalesce has increasingly layered AI into the experience, using it to suggest transformations, accelerate repetitive modeling, and help teams onboard to existing pipelines. In 2025 it acquired data catalog startup CastorDoc, adding an integrated catalog and governance layer to the platform.
Coalesce raised a $50 million Series B in April 2024 co-led by Industry Ventures and Emergence Capital, with participation from Snowflake Ventures, GreatPoint Ventures, 11.2 Capital, DNX Ventures, Telstra Ventures, and others, bringing total funding to roughly $81 million. The round followed more than 4x year-over-year ARR growth. Coalesce competes with dbt and legacy ETL tools, differentiating on its visual-plus-code approach, metadata automation, and deep Snowflake integration.