Data Studio
As charts and tables pile up, definitions drift and changes start to break things downstream. Data Studio gives teams the tools to manage data quality as you grow, so everyone can trust the numbers.
Data Studio is an analyst workbench where you shape the data your analytics depends on. Centralize logic, define reusable building blocks for analytics, and view and troubleshoot dependencies.
Clean, join, or pre-aggregate data in SQL or Python and create a new, persistent table for teams to explore and ask questions.
Understand exactly how data flows through your Metabase, so you know the impact of a change before you make it.
Detect broken dependencies, from tables to dashboards, and fix them before they cause problems.
Create a shared library of curated datasets so teams know what’s production-ready.
Data Studio is the space in Metabase where teams structure their data for self-service analytics. It’s where you build and manage data models, define metrics, and organize metadata so analytics stays understandable and reliable as more people, dashboards, and questions depend on it.
Yes, you can build and define your semantic layer inside Data Studio in Metabase. It lets you define shared business logic, like metrics and definitions once, and reuse them consistently across questions, dashboards, and embedded analytics.
Data Studio is designed for the analytics engineers, analysts, or developers: anyone responsible for managing data, both for embedded or internal analytics.
As analytics grows, teams often run into duplicated logic, drifting metrics, and dashboards that break when things change. Data Studio helps prevent these issues by centralizing definitions, making dependencies visible, and giving teams safer ways to evolve their analytics without breaking downstream work.
Yep. Data Studio works the same way whether your analytics are used internally or embedded in customer-facing products. Models, metrics, and definitions created in Data Studio can power embedded dashboards just as reliably as internal ones.
Data Studio is an always-on part of Metabase. Core capabilities are available in every Metabase instance, with additional advanced features available for teams that need more complex workflows, including Python transforms, data lineage, dependency diagnostics, and more as they grow.
If you’re already using Metabase, Data Studio is ready to use. You can start by publishing tables, defining metrics, or adding context to your existing data. New users can try it in Metabase open source, or explore advanced capabilities with a free trial.
Data Studio can support full transformation workflows for many teams on its own. For teams that already have established modeling or transformation workflows, Data Studio is designed to complement upstream work rather than replace it.
