Matia, the unified DataOps platform, today announced, at Snowflake’s annual user conference, Snowflake Summit 2025, the general availability of its enhanced Data Catalog. The catalog marks a major milestone in the evolution of the platform, enabling teams to manage metadata, track lineage, and govern data from a single pane of glass.

“As adoption of Matia accelerates, we’re focused on deepening the core pillars that matter most to our users,” said Benjamin Segal, Co-founder and CEO of Matia. “We heard from startups to enterprises that they didn’t want to have to buy a separate tool to fully understand their data. The catalog is now fully embedded into the Matia experience, helping teams navigate their data with clarity, trust, and speed.”

This launch reinforces Matia’s commitment to streamlining the modern data stack. By embedding catalog functionality directly into its ETL, reverse ETL, and observability layers, Matia eliminates the need for disconnected tools and fragmented workflows. Unlike platforms that offer end-to-end lineage as a visual add-on, Matia’s Catalog delivers operational lineage, including run history, error tracking, and full data observability, because the catalog is built into the core of the unified platform.

With robust support for dbt, Snowflake, and all Matia’s 100+ supported connectors, Matia’s Catalog brings powerful capabilities into a streamlined interface:

• End-to-End Lineage at the column and table level, enabling impact analysis, compliance tracking, and debugging
• Operational Lineage, including run history, error logs, data freshness and other observability indicators, so teams can click on an asset in graphical pipeline authoring and understand not just where data flows but how it’s performing in real time
• dbt Cataloging, automatically parsing dbt models, sources, jobs, and tests with rich metadata, documentation, ownership, and lineage.
• Matia Tags and integration with dbt and Snowflake tags to organize assets and drive discoverability
• Data Certification for marking assets as trusted, verified, and ready for use
• Universal Search across all connected metadata and assets

Ramp, the leading financial operations platform, leverages Matia’s Catalog to manage its large-scale dbt project. “Most data catalog tools show you a diagram, but what we needed was context--what ran, what failed, what changed,” said Akshay Ajbani, Senior Analytics Engineer at Ramp. “Matia is unified so lineage isn’t just a visual, it’s actionable. We can trace data issues, understand ownership, and answer stakeholder questions without digging through five different tools.”

Today’s expansion continues Matia’s mission to unify the modern data stack, helping data teams streamline their tools, accelerate collaboration, and maximize their impact.

Visit Matia at Booth 2109 during Snowflake Summit, June 2–5 in San Francisco to experience the platform firsthand and explore the latest in unified data catalog, ETL, Reverse ETL, and Observability.

Learn more about Matia’s Data Catalog here.

About Matia

Matia is a data operations platform that streamlines data management through unified ingestion, reverse ETL, observability, and catalog. Designed for seamless collaboration, Matia empowers organizations and the data teams that power them faster, smarter decisions with less tool bloat. Matia is backed by leading investors at Leaders Fund, Secret Chord Ventures, Cerca Partners and Caffeinated Capital and used by the data teams at Ramp, Drata, Honeybook, and Lemonade. Learn more at matia.io.

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“We heard from startups to enterprises that they didn’t want to have to buy a separate tool to fully understand their data. The catalog is now fully embedded into the Matia experience, helping teams navigate their data with clarity, trust, and speed.”