Matia deepens integration with Databricks Unity Catalog to unify lineage and metadata. Announced at Databricks Data and AI Summit 2026, Matia now brings Unity Catalog tags, descriptions, and lineage into the Matia Catalog and makes them Benjamin Segal, Co-Founder & CEO June 16, 2026 Today at Databricks Data and AI Summit 2026, Matia Inc. is announcing a deeper integration between Matia and Databricks Unity Catalog. If you run Databricks, you already keep a lot of important context in Unity Catalog. Tags that mark sensitive data, descriptions that explain what an asset is for, and the lineage that ties notebooks, jobs, and tables together. That context is valuable, but it lives in Databricks. The rest of your data picture lives somewhere else. This integration closes that gap. Matia now brings Unity Catalog metadata directly into the Matia Catalog, so your Databricks tags, descriptions, and lineage show up alongside everything else Matia already tracks, in one place. And because that metadata becomes part of Matia's graph, it isn't just visible. It's queryable by an agent, wherever your team works. Your Databricks context now lives in the Matia Catalog. The integration brings tags and descriptions from Unity Catalog into the Matia Catalog. Your Unity Catalog asset tags are surfaced in Matia, so the labels you already use to classify and govern data carry over instead of being recreated by hand. Asset descriptions written in Unity Catalog are pulled in too, so the context a teammate added in Databricks is visible to everyone working in Matia. In other words, the governance work your team already did shows up where the rest of your team can find it, not trapped in a tool only the Databricks admins open. Matia stitches native Databricks lineage with dbt lineage into one view. Lineage no longer needs to be fragmented. Matia captures native Databricks lineage by querying Unity Catalog system tables, and enriches it by parsing your dbt artifacts. Together they give you a fuller, dbt-aware map of how your Databricks assets connect, in a single view. That makes it easier to trace where data came from, understand what a change will affect, and triage an issue without hopping between tools. This deepens an integration that already runs deep. This isn't a standalone bolt-on. It sits on top of the ETL, Reverse ETL, and Observability that Matia already runs alongside Databricks. Teams like Lev use Matia to move data in and out of Databricks, run dbt models, and activate the results in their operational tools, with observability across the whole path. The Unity Catalog integration adds the governance layer to that same picture. Ingestion, activation, monitoring, and metadata all live together rather than in four disconnected tools. That's the advantage of a unified DataOps platform: your Databricks data doesn't just move through Matia, it's described, monitored, and connected in one place. The metadata isn't just visible. It's queryable by an agent, wherever you work. Once your Databricks tags, descriptions, and lineage are in Matia, they become part of a graph that Matia's MCP can reason over. That turns metadata from something you look at into something an agent can act on. Point an agent at it in whatever client your team already uses, and ask the questions that usually take an afternoon of digging: * Trace what depends on a table before you drop it, across tables, columns, dashboards, and the people who rely on it. * Find the root cause behind a wrong number on a dashboard, tracing upstream to the integration or monitor that caused it. * Decide which monitors protect a critical asset, by pointing the agent at the dashboard that matters. Your metadata stays open to the tools you choose, not locked to one. That means Claude, Cursor, ChatGPT, Slack, or any other MCP-enabled client. Get started. The Databricks Unity Catalog integration is available now for teams using Matia with Databricks. If you're already connected, your Unity Catalog tags, descriptions, and lineage will start surfacing in the Matia Catalog. If you're at Databricks Data and AI Summit this week, come find Matia Inc.. If you're evaluating Matia, this is a good moment to see what a unified view across your Databricks stack looks like. And if you're at Databricks Data & AI Summit, stop by to see it in person at booth 525. View the docs here. Experience Matia and see the power of the unified platform Move your data 7x faster and reduce your cost by up to 78%.

G2 Summer reports: Matia takes #1 in six reports. Matia tied Databricks for #1 on G2 Summer 2026 Momentum Grid for ETL Tools. Featured in 29 reports across ETL, Reverse ETL, and Observability. Sarah Lubeck May 26, 2026 The Summer G2 reports are out, and Matia was featured in 29 reports this season, with Matia clenching six #1 spots. Most notably, Matia took the #1 spot on the Momentum Grid for ETL Tools, tying with Databricks for the highest cumulative score in the category. Matia also took home #1 on the Usability and Results Indexes for Reverse ETL as well as the Mid-Market Results Index for Data Extraction. For context, G2's Momentum Grid measures growth: how fast a product is gaining traction, satisfaction, and market presence relative to the rest of the category. Sharing the top spot in ETL with one of the most established names in data, in the same quarter, is a strong signal of where the market is moving and how quickly Matia is moving with it. What Matia Inc. earned this season. Alongside the Momentum results, Matia was recognized as a High Performer across five categories that span the full surface area of what Matia Inc. do: That spread matters more to Matia Inc. than any single badge. Most platforms in this space do one of these things well. Matia is built to do all of them on a single foundation, covering ingestion, replication, reverse ETL, and observability, so data teams aren't stitching together four vendors and four contracts to move data from source to destination and back, with confidence that it arrived intact. Why momentum, specifically. Momentum is the metric Matia Inc. watch most closely because it's forward-looking. Grid leadership reflects who's biggest today. Momentum reflects who customers are choosing now and how quickly those customers are succeeding. Tying with Databricks on the ETL Momentum Grid says something specific: data teams evaluating modern ETL aren't just defaulting to incumbents anymore. They're picking platforms that ship faster, integrate the rest of the stack, and don't make them choose between flexibility and reliability. This is also the second quarter in a row that its G2 footprint has grown. In Spring 2026 Matia Inc. earned 34 badges across 27 reports, including its first recognition in Data Observability. Summer's results, including the #1 Momentum result in ETL, show that growth compounding. Thank you. Every G2 result is built on verified customer reviews from actual data engineers, analytics leaders, and platform teams taking the time to write about their experience. Matia Inc. read every one of them, and they shape what Matia Inc. build next. If you're a Matia customer and you haven't shared your experience yet, Matia Inc.'d love to hear it. And if you're evaluating a unified data platform and want to see what's behind the badges, get in touch. Matia Inc.'d be glad to show you.