Coalesce
Visual data transformation platform for Snowflake
About
Founded in 2020, Coalesce is a low-code/no-code data transformation platform built natively for Snowflake. It provides a visual development environment where data engineers define transformations via a drag-and-drop column mapper while the platform auto-generates optimized SQL code. The platform integrates transformation, data cataloging, and pipeline monitoring in a single interface, positioning as an alternative to dbt Cloud and Matillion for Snowflake-centric teams. Backed by Emergence Capital with $5.9M in seed funding, Coalesce targets data engineering teams that want faster pipeline development with full code transparency and version control on Git, without sacrificing the power of writing raw SQL.
Products
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Data Operating Layer
— Builds control into data pipelines so analytics and AI can scale without chaos or risk.
Customer sectors: data engineers, analytics teams, AI teams
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Transform
— Build, test, and deploy data pipelines faster with code-first, metadata-driven development and AI-assisted automation.
Customer sectors: data engineers, analytics teams, devops engineers
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Catalog
— Provides live lineage, ownership, and usage to understand data behavior and impact in real time.
Customer sectors: data analysts, data stewards, analytics teams
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Quality
— Continuously enforces data quality and observability to detect issues early before they impact downstream systems.
Customer sectors: data engineers, data governance teams, analytics teams
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AI Data Management
— Delivers trusted, AI-ready data by enforcing quality and governance continuously in production.
Customer sectors: AI teams, data engineers, analytics teams
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Coalesce — available to members.
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