CData Semantic Layer
5.4#24 in semantic layer softwareSelf-hosted
VisitCData Semantic Layer vs MetricFlow
MetricFlow
8.1#1 in semantic layer softwareFrom $100 a monthFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | CData Semantic Layer | MetricFlow |
|---|---|---|
| Founded | 2016 | 2016 |
| Headquarters | Chapel Hill, North Carolina, United States | Oakland, California, USA |
| Integrations | The product page names Google, SAP, Palantir, Zebra, Salesforce, UiPath, GSK, and Office Depot among its displayed organizations. | Official documentation lists downstream integrations including Tableau, Hex, Dot, Mode, and Google Sheets. |
| Purpose | CData Semantic Layer unifies enterprise data across on-premises, cloud, and SaaS environments into a governed source of truth for people and AI. | MetricFlow defines and manages metric logic and generates SQL for querying metrics across data dimensions. |
CData Semantic Layer plans
No prices published.
MetricFlow plans
- DeveloperFree
- MetricFlowFree
- Starter$100 a month
- EnterprisePriced on request
- Enterprise+Priced on request
Pick CData Semantic Layer if…
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.
Pick MetricFlow if…
MetricFlow may suit data teams that use dbt and want to define reusable metrics and generate SQL across dimensions. It requires a working dbt project and adapter.