Best BI Tools for Databricks Metric Views (2026)

Databricks Unity Catalog metric views, generally available since April 2026, centralize governed measures, dimensions, relationships, lineage, and access controls so organizations can reuse consistent business definitions across analytics tools and AI agents. The comparison argues that BI evaluations should examine whether tools query metric views live using native MEASURE() semantics or rely on custom SQL, wrapper views, compatibility modes, or copied semantic models, since these approaches differ in governance, maintenance burden, and risk of definition drift. It also emphasizes per-user OAuth for preserving Unity Catalog row-level and column-level permissions, as well as the ability to use the same metric definitions across natural-language analysis, dashboards, applications, and broader business context. Hex and Sigma are presented as offering relatively direct support for metric views and live Databricks querying, while Omni imports definitions into its own model, Tableau primarily uses compatibility approaches, Power BI often requires workarounds or a separate semantic layer, ThoughtSpot’s native support should be verified, and Looker has no documented metric-view integration and requires re-modeling in LookML. The recommended evaluation method is to test a real metric view and business question, inspect generated queries, modify definitions to assess synchronization, verify user permissions, and determine whether usage feedback helps teams improve the underlying Databricks governance layer.

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