--- title: "Data Studio | Curate your semantic layer for analytics people and AI can trust" description: "Wrangle your data, add context, and define metrics once for a governed semantic layer people and AI can query reliably. Get end-to-end visibility into every change in Data Studio." url: https://www.metabase.com/product/data-studio --- ## Data Studio # Curate your semantic layer right where your data gets used Wrangle your data, add the context it's missing, and define metrics once so your teammates and [AI](https://www.metabase.com/features/metabase-ai) can query reliably and get the right answer. Get end-to-end visibility: make a change, see what breaks before you ship it. [Get started](https://store.metabase.com/checkout) [Contact us](https://www.metabase.com/talk-to-a-person) Free 14-day trial Super-fast setup Secure and compliant Trusted by 100,000+ companies ### All in one place, connected, and observable Data Studio is where you shape the data your analytics depends on — a unified computational graph of tables, transforms, reusable metrics, business logic, and lineage. ##### Transforms #### Speed up queries by cleaning up tables for analytics Clean, join, or pre-aggregate data in [SQL or Python](https://www.metabase.com/docs/latest/data-modeling/transforms/transforms-overview) and create a new, persistent table for teams and agents to explore and ask questions. ##### Metadata #### Add the context raw tables don't have Rename columns, add descriptions, and [set semantic types](https://www.metabase.com/docs/latest/data-modeling/metadata/metadata-editing) so a table means something to the next person (or agent) who opens or queries it. ##### Metrics #### Calculations defined once, used by everyone Save aggregation logic as a [metric](https://www.metabase.com/docs/latest/data-modeling/semantic-layer/metrics), so ARR is computed the same way wherever it's queried. ##### Lineage #### Make a change, see what breaks [Trace lineage](https://www.metabase.com/docs/latest/data-modeling/tools/graph) from raw tables to the dashboards and questions that depend on them, all inside Metabase, so you know the impact before you ship a change. ##### Dependency diagnostics #### Find and fix broken dependencies without hunting them down [Detect broken dependencies](https://www.metabase.com/docs/latest/monitor/dependency-diagnostics), from tables to dashboards, and fix them before they cause problems. ##### Versioned dataset publishing #### Make it clear which data is meant to be reused Create a [shared library](https://www.metabase.com/docs/latest/data-modeling/semantic-layer/library) of canonical datasets so teams know what’s production-ready. #### Frequently asked questions What is Data Studio in Metabase? 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. Can I define a semantic layer inside Metabase? 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. How does Data Studio help AI give accurate answers? Metabot and other AI tools draw on the metrics, glossary terms, and table context you define in Data Studio, so they have a trustworthy foundation to work from instead of guessing at raw tables and joins. Who is Data Studio for? Data Studio is designed for analytics engineers, analysts, or developers: anyone responsible for managing data, both for embedded or internal analytics. What problem does Data Studio solve? 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. Can Data Studio structure data for embedded analytics and customer-facing dashboards? 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. What plan is Data Studio available on? 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. How do I get started with Data Studio? 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. How does Data Studio fit alongside existing data modeling and transformation tools? 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. Have more questions? We’d be happy to help. [Contact us](https://www.metabase.com/talk-to-a-person) ### Bring more order to your analytics Organize your data for clarity, allowing non-technical team members to navigate and analyze it effortlessly. [Get started](https://store.metabase.com/checkout) [Contact us](https://www.metabase.com/talk-to-a-person) Free 14-day trial Super-fast setup Secure and compliant