
dbt Semantic Layer
7.5#3 in semantic layer softwareFrom $100 a monthFree planWebAPIExtension
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| Fact | dbt Semantic Layer | Synopsis Semantic Layer |
|---|---|---|
| Founded | 2016 | 2024 |
| Headquarters | Oakland, California, United States | Chicago, Illinois |
| Integrations | The 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. | The product page describes Excel and Google Sheets integrations, Slack access, MCP connections for AI tools, browser extension, SQL, API, and CSV or Excel exports. |
| Intended users | The product is presented for data teams seeking governed, consistent metrics for analytics, embedded applications, and AI use cases. | Synopsis describes its platform as built for business operators as well as data teams, with the aim of helping companies use data without months of engineering work. |
| Purpose | The Semantic Layer centralizes metric definitions on dbt models and automatically handles data joins for consistent use across downstream tools and applications. | Synopsis says its semantic layer learns company metric definitions from documents such as budgets, board decks, and reports, then enforces them across answers. |
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.
You want what its maker publishes above — check its page for the details.