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dbt Semantic Layer vs Rill Metrics SQL

What both publish

Factdbt Semantic LayerRill Metrics SQL
Access controlsThe Semantic Layer applies access permissions and respects policies attached to the underlying warehouse credentials.Rill offers role-based access controls and YAML-authored row- and column-level security policies; Metrics SQL APIs inherit metrics-view security policies.
IntegrationsThe product page says the Semantic Layer offers an API, the dbt MCP Server, and dozens of out-of-the-box integrations for BI, notebooks, spreadsheets, embedded analytics, and AI systems.Documented connectors include ClickHouse, BigQuery, Databricks, Redshift, Snowflake, PostgreSQL, MySQL, S3, GCS, Azure Blob Storage, Claude, OpenAI, Gemini, and Slack.

dbt Semantic Layer plans

  • DeveloperFree
  • dbt State add-on$0.09 a month
  • Starter$100 a month
  • EnterprisePriced on request
  • Enterprise+Priced on request

Rill Metrics SQL plans

  • Starter$20 a month
  • Growth$30 a month
  • EnterprisePriced on request

Pick dbt Semantic Layer if…

The Semantic Layer suits data teams that need governed, consistent metrics for analytics, embedded applications, or AI use cases. It is for organizations already using dbt Starter or Enterprise accounts to define and query metrics.

Pick Rill Metrics SQL if…

Rill suits teams that define warehouse metrics in SQL and YAML and need governed dashboards or embedded analytics. Its MCP server and integrations may also suit teams connecting metrics to AI agents.

Charts they share