Matia Unveils Enhanced Unified Data Catalog to Revolutionize Data Visibility and Governance
At Snowflake Summit 2025, the annual user conference hosted by Snowflake, Matia, a leading unified DataOps platform, announced the general availability of its enhanced Data Catalog. This milestone marks a significant advancement in Matia’s platform capabilities, empowering teams to manage metadata, track data lineage, and govern their data ecosystems—all from a single, cohesive interface. The new catalog is designed to provide end-to-end visibility and governance, enabling organizations to navigate their data with unprecedented clarity, trust, and speed.
“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 underscores Matia’s commitment to streamlining the modern data stack. By integrating catalog functionality directly into its ETL, Reverse ETL, and observability layers, Matia eliminates the inefficiencies of disconnected tools and fragmented workflows. Unlike other platforms that offer end-to-end lineage as a mere visual add-on, Matia’s Catalog provides operational lineage, delivering actionable insights such as run history, error tracking, and real-time data observability. This is made possible because the catalog is built into the core of Matia’s unified platform, ensuring seamless integration and operational depth.
Key Features of Matia’s Enhanced Data Catalog
Matia’s Data Catalog introduces a range of powerful capabilities, all accessible through an intuitive and streamlined interface:
- End-to-End Lineage at Column and Table Levels
Teams can now perform detailed impact analysis, compliance tracking, and debugging with ease. The catalog provides granular visibility into how data flows across systems, enabling users to understand dependencies and anticipate potential issues. - Operational Lineage
Beyond just visualizing data pipelines, Matia’s catalog includes critical operational metrics such as run history, error logs, and data freshness. This ensures that users can not only see where data flows but also assess how it’s performing in real time. For instance, clicking on an asset within the graphical pipeline authoring interface reveals performance metrics, ownership details, and error histories. - dbt Cataloging
Matia’s robust support for dbt (data build tool) allows users to automatically parse dbt models, sources, jobs, and tests. The catalog enriches these assets with metadata, documentation, ownership information, and lineage, making it easier for teams to collaborate and maintain high-quality data pipelines. - Matia Tags and Integration with dbt and Snowflake Tags
Assets can be organized and made more discoverable using Matia Tags, which integrate seamlessly with dbt and Snowflake tags. This feature enhances searchability and helps teams quickly locate the data they need. - Data Certification
To ensure trust and reliability, Matia’s catalog includes a Data Certification feature. Users can mark assets as trusted, verified, and ready for use, providing stakeholders with confidence in the quality and accuracy of their data. - Universal Search
With universal search capabilities, users can effortlessly find any connected metadata or asset across their entire data ecosystem. This saves time and reduces friction when navigating complex datasets.
Real-World Impact: A Case Study from Ramp
One of the early adopters of Matia’s enhanced Data Catalog is Ramp, a leading financial operations platform. Facing challenges with fragmented tools and limited context, Ramp turned to Matia to streamline 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.”
For Ramp, Matia’s unified approach has transformed how they manage their data pipelines. The ability to access operational lineage and real-time observability has enabled them to resolve issues faster, improve collaboration, and deliver higher-quality insights to stakeholders.
Streamlining the Modern Data Stack
Matia’s mission has always been to unify the modern data stack, and this latest release takes that vision to the next level. By embedding catalog functionality directly into its platform, Matia eliminates the need for additional tools, reducing complexity and lowering costs for organizations. The result is a streamlined workflow that accelerates collaboration and maximizes the impact of data teams.
Whether it’s managing metadata, tracking lineage, or certifying data assets, Matia’s enhanced Data Catalog provides a comprehensive solution for organizations looking to achieve true end-to-end data visibility and governance. Its robust support for popular tools like dbt, Snowflake, and over 100 other connectors ensures compatibility with existing systems, making it easy for teams to adopt and integrate the platform into their workflows.
Experience Matia at Snowflake Summit 2025
Attendees of Snowflake Summit 2025 can visit Matia at Booth 2109 from June 2–5 in San Francisco to experience the platform firsthand. Visitors will have the opportunity to explore the latest advancements in unified data cataloging, ETL, Reverse ETL, and observability. This is a unique chance to see how Matia is redefining the way organizations manage and leverage their data.
Why This Matters for the Future of Data Management
In today’s data-driven world, organizations face mounting pressure to deliver accurate, timely, and trustworthy insights. However, the proliferation of disconnected tools often leads to inefficiencies, errors, and frustration among data teams. Matia’s enhanced Data Catalog addresses these challenges head-on by providing a unified solution that combines metadata management, lineage tracking, and governance into a single platform.
By embedding operational lineage and observability into its core, Matia ensures that teams have the context they need to make informed decisions. Whether it’s debugging pipelines, ensuring compliance, or certifying data assets, the catalog empowers users to work smarter, not harder.
As businesses continue to embrace digital transformation, tools like Matia’s Data Catalog will play a pivotal role in enabling scalable, efficient, and reliable data operations. With its focus on usability, integration, and operational depth, Matia is setting a new standard for what’s possible in the realm of data management.
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.
