CData Semantic Layer
CData Semantic Layer brings data from on-premises systems, cloud services, and SaaS into a centrally governed layer for analytics, BI tools, and AI agents.
What CData Semantic Layer is
CData Semantic Layer brings data from on-premises systems, cloud services, and SaaS into a centrally governed layer for analytics, BI tools, and AI agents. It connects to more than 270 enterprise data sources and supports CDC, Reverse ETL, batch movement, and virtualization. Its Connectivity Engine turns raw tables and APIs into relational business metrics, dimensions, and hierarchies. An AI-powered Intelligent Business Glossary links business definitions to source data and metadata, while the Business Data Shop lets users publish curated datasets as reusable data products. Governance includes role-based controls, row- and column-level masking, audit trails, automated classification, and policy frameworks. Lineage views cover virtualized and physical stores, and a massively parallel processing engine handles distributed queries and high concurrency. The modular CData Platform can run on-premises, in the cloud, or embedded in a product; the listed Semantic Layer platform is self-hosted. Pricing is on request. CData Software is based in Chapel Hill, North Carolina, and was founded in 2016.
Good
- Connects to more than 270 enterprise data sources
- Supports CDC, Reverse ETL, batch movement, and virtualization
- Includes row- and column-level masking
- Offers lineage views for physical and virtualized stores
Watch out
- Pricing is available on request
- Listed platform is self-hosted
Who it suits
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.
Verdict
CData Semantic Layer combines broad connectivity, business modeling, data cataloging, and governance for enterprise analytics and AI. Organizations considering it will need to request pricing details.
The facts
Each one read from CData Semantic Layer's own pages, with the date it was checked.
What it does
- Business glossary
- Its AI-powered Intelligent Business Glossary pairs business definitions with source data and metadata.checked 4 Oct 2026
- Business modeling
- The Connectivity Engine translates raw tables and APIs into relational data presented as business metrics, dimensions, and hierarchies.checked 9 Oct 2026
- Catalog and lineage
- Curated datasets can be published as data products in the Business Data Shop, with lineage views covering virtualized and physical stores.checked 9 Oct 2026
- Connectivity
- It connects to more than 270 enterprise data sources and supports CDC, Reverse ETL, batch movement, and virtualization.checked 9 Oct 2026
- Consumers
- The page describes the product as a foundation for analytics, BI tools, and AI agents.checked 4 Oct 2026
- Data catalog
- Users can publish reusable curated datasets in the Business Data Shop for business users to browse, request, and access as data products.checked 4 Oct 2026
- Deployment
- The CData Platform page says its modular architecture runs on-premises, in the cloud, or embedded in a product.checked 4 Oct 2026
- Governance
- Built-in governance includes dynamic role-based controls, row- and column-level masking, automated classification, and explainable audit trails.checked 9 Oct 2026
- Integrations
- The product page names Google, SAP, Palantir, Zebra, Salesforce, UiPath, GSK, and Office Depot among its displayed organizations.checked 9 Oct 2026
- Intelligent glossary
- Its AI-powered Intelligent Business Glossary pairs business definitions with source data and metadata to help BI tools and AI agents interpret data consistently.checked 9 Oct 2026
- Intended users
- The product is presented for enterprise analytics and AI, with centrally governed self-service access for business users.checked 9 Oct 2026
- Privacy compliance
- CData says it complies with consumer data privacy regulations including GDPR and CCPA.checked 4 Oct 2026
- Purpose
- CData Semantic Layer unifies enterprise data across on-premises, cloud, and SaaS environments into a governed source of truth for people and AI.checked 9 Oct 2026
- Query engine
- CData describes an enterprise-grade massively parallel processing engine for complex distributed queries, high concurrency, and fast response times.checked 9 Oct 2026
- Security certifications
- CData says it has completed third-party SOC 2 Type II and ISO/IEC 27001:2022 compliance audits.checked 9 Oct 2026
- Security resources
- CData offers a Customer Security Kit that includes its security policy, SOC 2 attestation, penetration test reports, and SIG materials.checked 4 Oct 2026
- Source connectivity
- It integrates with 270+ enterprise data sources and supports CDC, Reverse ETL, batch movement, and virtualization.checked 4 Oct 2026
- Support
- CData lists technical support hours as Monday through Friday, 9 a.m. to 6 p.m. ET.checked 9 Oct 2026
The company
- Company
- CData Software was founded in 2016 and is headquartered in Chapel Hill, North Carolina.checked 4 Oct 2026
- Founded
- 2016checked 28 Sep 2026
- Headquarters
- Chapel Hill, North Carolina, United Stateschecked 28 Sep 2026
Money
- Sales and trial
- The Semantic Layer page offers a demo and product tour; it does not state a price or trial terms.checked 9 Oct 2026
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