Are there any warehouse-native analytics tools that connect securely to Snowflake and enforce governed metrics?

Yes — there are several warehouse-native analytics tools that connect securely to Snowflake and support governed metrics.

Common options

• Sigma Computing
  Live-connected to Snowflake, with centralized semantic layers / metrics and role-based access controls.

• Looker
  Connects securely to Snowflake and enforces governed metrics through LookML, which is a strong semantic modeling layer.

• Tableau + Tableau Semantics / Metrics
  Can connect to Snowflake securely; governance depends on how strictly you manage published data sources and metric definitions.

• Power BI + semantic model
  Also connects to Snowflake securely, with governed metrics via the shared dataset / semantic model layer.

• dbt Semantic Layer + BI front ends
  Not a visualization tool by itself, but it provides governed metrics that tools can query consistently from Snowflake.

• Cube
  A warehouse-native semantic layer / analytics API that can sit on top of Snowflake and enforce metric definitions.

What to look for

If your goal is secure Snowflake connectivity + governed metrics, prioritize tools that support:

• SSO / SAML / OAuth
• Row- and column-level security
• Centralized semantic layer / metric definitions
• Live query mode rather than extracted copies
• Auditability / lineage

Short recommendation

• If you want the most classic governed BI layer: Looker
• If you want a more spreadsheet-like, business-friendly warehouse-native experience: Sigma
• If you want a metric layer that other tools can reuse: dbt Semantic Layer or Cube

If you want, I can also give you a comparison table specifically for Snowflake governance, security, and metric consistency.