# About dbt Insights [Beta](https://docs.getdbt.com/docs/dbt-versions/product-lifecycles "Go to https://docs.getdbt.com/docs/dbt-versions/product-lifecycles")

dbt platform | Enterprise, Enterprise+

Learn how to query data with Insights and view documentation in Catalog.

Insights in dbt empowers users to seamlessly explore and query data with an intuitive, context-rich interface. It bridges technical and business users by combining metadata, documentation, AI-assisted tools, and powerful querying capabilities into one unified experience.

Insights in dbt integrates with [Catalog](./explore-projects.md), [Studio IDE](../platform/studio-ide/develop-in-studio.md), [Canvas](../platform/canvas.md), [dbt Copilot in Insights](./access-dbt-insights.md), and [Semantic Layer](../use-dbt-semantic-layer/dbt-sl.md) to make it easier for you to perform exploratory data analysis, leverage AI-assisted tools, make faster decisions, and collaborate across teams.

[![Overview of the dbt Insights and its features](/img/docs/dbt-insights/insights-main.gif?v=2 "Overview of the dbt Insights and its features")](#)Overview of the dbt Insights and its features

## Prerequisites

* Be on a dbt [Enterprise or Enterprise+](https://www.getdbt.com/pricing) plan — [book a demo](https://www.getdbt.com/contact) to learn more about Insights.

* Available on all [tenant](../platform/about-platform/tenancy.md) configurations.

* Have a dbt [developer license](../platform/manage-access/seats-and-users.md) with access to Insights.

* Configured [user credentials](../platform/studio-ide/develop-in-studio.md#get-started-with-the-studio-ide).

* Your production and development [environments](../dbt-platform-environments.md) are on dbt’s **v1 Latest** [release track](../dbt-versions/dbt-release-tracks.md) or a supported dbt version.

* Use a supported data platform: Snowflake, BigQuery, Databricks, Redshift, or Postgres.
  * Single sign-on (SSO) for development user accounts is supported. Deployment environments will be queried leveraging the user's user credentials configured in **Account settings**.

* (Optional) — To query [Semantic Layer](../use-dbt-semantic-layer/dbt-sl.md) metrics from the Insights, you must also:

  * [Configure](../use-dbt-semantic-layer/setup-sl.md) the Semantic Layer for your dbt project.
  * Have a successful job run in the environment where you configured the Semantic Layer.

* (Optional) To enable [Language Server Protocol (LSP) features](./navigate-dbt-insights.md#lsp-features-in-dbt-insights) in Insights and run your compilations on dbt v2, set your development environment to use the **v2 Stable** dbt version.

## Key benefits

Key benefits include:

* Quickly write, run, and iterate on SQL queries with tools like syntax highlighting, tabbed editors, and query history.
* Leverage dbt metadata, trust signals, and lineage from Catalog for informed query construction.
* Make data accessible to users of varied technical skill levels with SQL, Semantic Layer queries, and visual tools.
* Use dbt Copilot in Insights to generate or edit SQL queries, descriptions, and more.

Some example use cases include:

* Analysts can quickly construct queries to analyze sales performance metrics across regions and view results.
* All users have a rich development experience powered by Catalog's end-to-end exploration experience.

dbt Wizard is the recommended agent for dbt work

dbt Wizard is the recommended AI agent for governed data development in dbt. It handles the full development lifecycle — investigation, building, validation, and shipping — grounded in your dbt project's lineage, tests, contracts, and metric definitions.

Refer to [dbt AI FAQs](../dbt-ai/dbt-ai-faqs.md#is-dbt-wizard-the-same-as-dbt-copilot), [Billing](../dbt-ai/wizard-billing-faqs.md), and [dbt's Terms of Use](https://www.getdbt.com/terms-of-use) for more information.