Which BI tools import metrics from your warehouse?

Quoted from Databricks’s docsQuery metric views from SQL editors, notebooks, dashboards, Genie Agents, and alerts.

Quoted from Snowflake’s docsThis preserves the business logic you’ve already built in Power BI, including metric definitions, table relationships, and column descriptions, and makes it available to Cortex Analyst and other Snowflake tools.

Quoted from Omni’s docsYou keep your semantic definitions in one place — Snowflake — and explore and visualize them in Omni.

Quoted from Hex’s docsThis gives you flexibility to either author models natively in Hex or bring in definitions from tools like Cube, dbt MetricFlow, or Snowflake Semantic Views.

Quoted from Sigma’s docsSigma supports dbt Semantic Layer integrations, allowing you to leverage your predefined dbt metrics in Sigma workbooks.

Quoted from BigQuery’s docsCreate BigQuery custom glossary terms for each agent or import business glossary terms from Knowledge Catalog.

Quoted from Looker’s docsLooker integrates with in-database analytic models, such as BigQuery Graph and Snowflake semantic views, so that you can keep your semantic definitions consistent across Looker and other BI tools, applications, or workloads that interface with your data warehouse.

Quoted from Tableau’s docsdbt Semantic Layer

Quoted from Power BI’s docsPower BI supports only the following third-party semantic models:

Quoted from Mode’s docsThis connection will surface all available metrics to query.