The data operating layer for your Databricks lakehouse
Speed isn’t the problem on Databricks, coordination is. Coalesce unifies data transformation, cataloging, and monitoring into one governed platform, so your engineers and AI agents build lakehouse pipelines to the same standard, in the same flow, with the same context.
Leading data teams use Coalesce to deliver projects 4× faster and reclaim 50%+ of platform compute.
Three ways to build, one set of standards
Coalesce Transform is where data products get built on Databricks: in the visual builder, in the IDE, or with Coalesce Copilot turning natural-language intent into governed transformations.
Every pipeline compiles to optimized Databricks SQL with column-level lineage, reusable patterns, and validation on every change, so analysts and engineers contribute to the same Projects under the same standards.
Never start a project from zero
Templates, Node Types, and Packages from Coalesce Marketplace mean new Projects inherit your standards automatically. Create, test, and deploy production-grade Databricks pipelines in days, not weeks, with orchestration and lineage handled as part of the build rather than bolted on afterward..
Governed by default, validated by Databricks
Coalesce is a Bronze tier partner in the Databricks Brickbuilder Partner Network. Transform, Catalog, and Quality are all generally available on Databricks and share one metadata layer, so lineage, ownership, documentation, and quality signals flow from how data gets built.
Every actor, human or AI agent, works inside the same standards, approvals, and lineage checks. Governance isn’t a review step after the fact; it’s built into the flow.
