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dbt Semantic Layer vs Sidemantic

What both publish

Factdbt Semantic LayerSidemantic
AI accessAI tools including Claude and ChatGPT can connect to governed metrics through the dbt MCP server.Sidemantic can expose metrics to LLMs through MCP, with built-in guardrails for governed access.
PurposeThe Semantic Layer centralizes metric definitions on dbt models and automatically handles data joins for consistent use across downstream tools and applications.Sidemantic is a semantic layer for defining metrics once and querying them consistently across tools.

dbt Semantic Layer plans

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

Sidemantic plans

No prices published.

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 Sidemantic if…

Sidemantic suits teams that need to define governed metrics and query them across tools on top of a warehouse. Its workbench can also help people explore it using demo data without setting up a database.

Charts they share