Solutions

Metadata management at any scale

Coalesce Recognized as a Visionary

Find out why in the 2025 Gartner® Magic Quadrant for Metadata Management Solutions
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Build and discover in one place

Stop stitching together catalogs, governance layers, and transformation frameworks. As a metadata management platform, Coalesce replaces fragmented tools with a single metadata-first experience that streamlines delivery and cuts through complexity.

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Development, discovery, & governance

While traditional catalogs document, Coalesce operationalizes. Activate metadata to standardize builds, automate rote steps, and bridge the gap between policy and production with Catalog to turn your data assets into searchable, explainable, and reliable resources.

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Connect metadata to AI models with Copilot

For AI and LLMs to deliver relevant answers, they need structured context. Coalesce Copilot uses metadata as the connective tissue between data and intelligence—automating documentation, enhancing quality, and helping your AI understand not just what data is, but what it means.

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Stylized Screenshot of Coalesce interface showing columns in a metadata panel linked via visual connectors to AI model panels with check-marks

Make metadata governance seamless and scalable

Make governance a natural part of your data workflows by defining standards, enforcing ownership, and tracking changes, all while you continue building. With metadata and governance fully integrated, compliance becomes a byproduct of how you work.

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Stylized screenshot of Coalesce UI showing automated metadata lineage tracking with node-style panels connected by colored links on a blue gradient background.
Frequently Asked Questions

Metadata management is the process of organizing, governing, and maintaining information about your data—such as where it came from, how it’s used, and what it means. Effective metadata management improves data quality, supports governance, enables AI initiatives, and makes data more discoverable and trustworthy.

Coalesce automates metadata capture at every stage of the data lifecycle. It tracks lineage, enforces governance policies, and makes metadata searchable via a built-in data catalog—eliminating manual work and separate metadata tools.

Data lineage shows how data moves and transforms across systems—from source to final output. Coalesce automatically captures column-level lineage so you can trace data back to its origin, understand dependencies, and assess downstream impact—all essential for compliance, debugging, and AI accuracy.

Yes. Coalesce embeds governance directly into your workflows. You can define standards, assign ownership, and track schema changes natively within the platform—making compliance and auditing much simpler and more scalable.

Coalesce Copilot uses structured metadata to enhance the performance of AI models. By connecting data with its business context, Coalesce helps LLMs deliver more accurate and relevant results—making your data truly AI-ready.

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