Coalesce

Coalesce is a unified data operating layer that combines data transformation, cataloging, and quality monitoring into a single platform. Built for modern cloud data platforms like Snowflake, Databricks, BigQuery, and Microsoft Fabric, it enables human engineers and AI agents to build and maintain data pipelines together.

The platform provides a metadata-driven architecture supporting both a visual web interface and code-first local development. Teams can enforce standards, manage governance, and inspect pipeline changes across environments using Git, command-line tools, and AI connectors.

Key features

• Agentic data transformation: Enables AI agents and human engineers to build, test, and deploy pipeline nodes through visual interfaces, CLIs, or MCP integrations.
• Unified data catalog: Automatically captures definitions, ownership, usage, and column-level lineage across all data assets.
• Automated quality monitoring: Integrates pipeline testing and observability with an AI-assisted data SRE agent that triages issues and proposes fixes.
• Local development CLI: Offers command-line execution and local workspace synchronization for offline pipeline building and testing.
• Pre-built platform skills: Provides specialized agent instructions and MCP integrations to maintain governance standards during AI code generation.
• Blast radius analysis: Displays live lineage impact before code deployments to prevent downstream pipeline breaks.