One data operating layer for Snowflake
Writing code is no longer the bottleneck. Data teams generate pipelines with Claude Code, Cortex Code, or similar tools in a fraction of the time, often with less human review. What hasn’t sped up is the judgment work: agreeing on modeling standards, deciding what governance applies, and knowing whether the numbers are right. When that gap goes unaddressed on Snowflake, it shows up as duplicated models, missing PII tags, and warehouses running compute nobody planned for. 
Coalesce provides a unified data operating layer that connects every user and process to shared projects, standards, and lineage, helping teams on Snowflake complete work 4x faster and cut warehouse compute by more than 50%.
Develop with the full power of Snowflake’s AI Data Cloud
Unify data transformation, cataloging, and observability in Snowflake on a single platform with a shared metadata layer—so humans or AI agents can trace a change from source to dashboard, check ownership, and see if it is healthy without leaving the flow.
Build pipelines that compile to optimized Snowflake SQL and work directly with Snowflake Cortex, Apache Iceberg Tables, and native object types without wrappers or workarounds. Catalog every asset and keep lineage and ownership up to date across your Snowflake environment. Run quality tests and monitor data as you build it.
Future-proof your data architecture with native support for the latest Snowflake innovations—including Snowflake Cortex for AI and ML, Apache Iceberg Tables, and other cutting-edge features. Coalesce makes it easy to build and automate data pipelines in the Snowflake AI Data Cloud.
Model once, and take your standards everywhere
Keep conceptual, logical, and physical models together. Templates, Node Types, and Packages from Coalesce Marketplace bring your standards into every project by default. With Snowflake-optimized Packages for Data Vault, dimensional modeling, and Iceberg, even complex models are finished in days—not weeks—with no manual SQL upkeep.
Build locally with your favorite editor and AI agent
Pipelines live as files in your Git repository, built and run with the coa CLI, and reviewed in Coalesce Desktop. Coalesce platform skills help your coding agent author nodes and structure pipelines the right way.
Engineers and their agents work locally, and everything deploys through the same governed workflow as UI-based work.
Don’t just take our word for it
Hear how FCP Euro revamped its customer experiences and surfaced insights across the company by using Snowflake and Coalesce to consolidate data silos, automate transformations, and improve data governance.
Learn why Kent Graziano, former Chief Technical Evangelist at Snowflake, thinks that Coalesce is a game changer for organizations as they scale and adopt the the Snowflake AI Data Cloud.
Supporting data teams in every industry
Coalesce and Snowflake are committed to providing solutions and meeting the specialized needs of data teams in different industries, from financial services leaders to life sciences innovators.
Frequently Asked Questions
Coalesce is natively integrated with Snowflake, ensuring seamless use of features like Snowflake Cortex, Iceberg Tables, and native object types—without any wrappers or workarounds. This integration streamlines your ETL workflow and maximizes Snowflake’s capabilities.
Coalesce’s platform combines a visual interface with auto-generated Snowflake SQL, enabling users to build, design, and deploy complex ETL pipelines with minimal coding. This results in up to 10x faster development compared to traditional methods
Yes–Coalesce offers built-in version-controlled transformations, lineage tracking, and reusable components, ensuring that your Snowflake workflows remain compliant, consistent, and scalable as your data environment evolves.
Coalesce enhances Snowflake performance by tracking and analyzing compute consumption across pipelines. With built-in observability, it helps identify inefficiencies and optimize Snowflake credit usage, ensuring cost-effective data operations.
Coalesce fosters real-time collaboration among data engineers, analysts, and architects, allowing teams to work together on ETL pipelines, review transformations, and iterate efficiently throughout the data lifecycle.
