dbt Semantic Layer
7.5#3 in semantic layer softwareFrom $100 a monthFree planWebAPIExtension
Visitdbt Semantic Layer vs Kyvos
What both publish
| Fact | dbt Semantic Layer | Kyvos |
|---|---|---|
| Access controls | The Semantic Layer applies access permissions and respects policies attached to the underlying warehouse credentials. | Pricing features include role-based access control and row- and column-level security. |
| Headquarters | Oakland, California, United States | Los Gatos, California, USA |
| 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. | Kyvos lists Tableau, Power BI, Excel, Strategy, and Looker as BI platforms, and Snowflake, Databricks, BigQuery, AWS, Redshift, Azure, Google Cloud, and Microsoft Fabric in its data ecosystem. |
| Intended users | The product is presented for data teams seeking governed, consistent metrics for analytics, embedded applications, and AI use cases. | Kyvos describes its platform as serving enterprise data and analytics workloads across industries and teams. |
| Purpose | The Semantic Layer centralizes metric definitions on dbt models and automatically handles data joins for consistent use across downstream tools and applications. | Kyvos is a semantic layer for enterprise AI and BI that provides business context and consistent definitions for analytics. |
dbt Semantic Layer plans
- DeveloperFree
- dbt State add-on$0.09 a month
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
Kyvos plans
- Kyvos on Cloud Marketplace$0.41 a month
- Kyvos Managed Service$0.61 a month
- Kyvos On Premise$48,000 a year
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 Kyvos if…
Kyvos is aimed at enterprise data and analytics teams that need consistent business definitions across AI and BI tools. It may suit organizations looking for cloud, managed, or on-premise deployment choices.