CData Semantic Layer
5.4#24 in semantic layer softwareSelf-hosted
Visit
| Fact | CData Semantic Layer | dbt Semantic Layer |
|---|---|---|
| Founded | 2016 | 2016 |
| Headquarters | Chapel Hill, North Carolina, United States | Oakland, California, United States |
| Integrations | The product page names Google, SAP, Palantir, Zebra, Salesforce, UiPath, GSK, and Office Depot among its displayed organizations. | 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. |
| Intended users | The product is presented for enterprise analytics and AI, with centrally governed self-service access for business users. | The product is presented for data teams seeking governed, consistent metrics for analytics, embedded applications, and AI use cases. |
| Purpose | CData Semantic Layer unifies enterprise data across on-premises, cloud, and SaaS environments into a governed source of truth for people and AI. | The Semantic Layer centralizes metric definitions on dbt models and automatically handles data joins for consistent use across downstream tools and applications. |
| Security certifications | CData says it has completed third-party SOC 2 Type II and ISO/IEC 27001:2022 compliance audits. | dbt Labs reports ISO 42001, ISO 27001, ISO 27701, ISO 27017, ISO 27018, and SOC 2 Type II coverage. |
No prices published.
It suits enterprise analytics and AI teams that need shared business definitions, governed metrics, and centrally managed self-service access. Business users can browse, request, and access curated datasets as data products.
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.