What is Transform?
Coalesce Transform is the metadata-driven workspace to design, build, and operate governed data pipelines on your cloud data platform. It combines a visual DAG with code, reusable templates, built-in testing and standards, column-level lineage, and instant change propagation so data teams ship reliable data products faster with less maintenance.
Transform Overview
- Ship faster with standards: Use reusable templates and patterns to keep teams aligned while automating repetitive SQL work.
- Govern as you build: Enforce naming, contracts, tests, and approvals in the same place you transform—no bolt-ons.
- See and trust lineage: Column-level lineage and automatic propagation make impact analysis and updates instant.
- Work across clouds: A consistent Coalesce experience across your environments on leading cloud data platforms.
- Scale without the drag: Git-native workflows, APIs/CLI, and jobs built for thousands of tables and frequent change.
- AI where it helps: Generate SQL, refactor code, auto-document nodes/columns, and summarize changes/commits.
Get Started
- Quick Start Guides – Build your first pipeline in minutes on Snowflake or Databricks.
- Build with AI in Transform – Turn on assistants for SQL, documentation, and change summaries.
- Connect Catalog – Centralize documentation and expose trust signals to the business.
New to Coalesce? Start via your cloud marketplace/partner connect or request a trial to explore Transform hands-on.
What’s Included
Transformation Workbench
Design data pipelines in a visual graph and code-based experience.
Standards, Templates & Patterns
Apply metadata-driven templates (naming, conventions, macros) and ready-made node patterns so work is consistent across teams and domains.
Testing, Contracts & Approvals
Define tests and data contracts inside the transformation flow. Surface approvals and policy checks before changes ship, so reliability goes out with every deploy.
Change Management & Propagation
Detect upstream changes, propagate updates across dependent nodes, and run impact analysis at the column level—keeping docs and pipelines in sync by design.
Change Management & Impact Analysis
Explore dynamic column-level lineage directly from your graph to understand dependencies, breakages, and blast radius before you change anything.
Environments & Storage Mappings
Separate logical design from physical deployment. Use storage mappings per environment (dev/test/prod) to promote with confidence.
Jobs & Orchestration
Schedule and monitor jobs (deploy, refresh, build) and integrate with external orchestrators as needed.
AI Assistants (in Transform)
Use AI to generate or refactor SQL, draft node/column descriptions, and summarize changes/commit messages to reduce busywork and keep documentation fresh.
API & CLI
Automate runs, query metadata, and wire Coalesce into CI/CD with a REST API and CLI.
Marketplace & Packages
Jump-start projects with pre-built node types and solutions (e.g., Dynamic Tables, platform base node types, accelerators).
Key Concepts in Transform
- Projects & Workspaces – Organize work, connect Git, and manage access.
- Graphs & Nodes – Model data products with node types (Source, Stage, Dimension, Fact, View, Custom).
- Policies & Templates – Enforce standards with reusable patterns and metadata-driven rules.
- Storage Mappings – Bind logical nodes to physical schemas per environment.
- Deploy, Refresh & Jobs – Operate pipelines with predictable, auditable runs.
Looking for documentation and discovery? Connect to Coalesce Catalog to centralize docs and surface trust signals where analysts work.