CData Semantic Layer

Paid Self-hosted

What CData Semantic Layer is

CData Semantic Layer unifies fragmented on-premises, cloud, and SaaS data into a governed source of truth for people and AI. It connects to more than 270 enterprise data sources and supports change data capture, Reverse ETL, batch movement, and virtualization. An AI-powered Intelligent Business Glossary links business definitions with source data and metadata, while the Business Data Shop lets users publish curated datasets for business users to browse, request, and access as data products. Governance capabilities include dynamic role-based controls, row- and column-level masking, explainable audit trails, automated classification, and extensible policy frameworks. A massively parallel processing engine is designed for complex distributed queries and high concurrency. CData positions the product as a foundation for analytics, BI tools, and AI agents, and lists governed metrics and row-level security. The CData Platform's modular architecture can run on-premises, in the cloud, or embedded in a product; the listed platform for Semantic Layer is self-hosted. CData says it complies with consumer data privacy regulations including GDPR and CCPA. It offers a Customer Security Kit with security policy, SOC 2 attestation, penetration test reports, and SIG materials. Technical support is available by phone and through support issue submission, Monday through Friday, 9 a.m.–6 p.m. ET. Pricing is on request. CData Software was founded in 2016 and is headquartered in Chapel Hill, North Carolina.

Who it suits

CData Semantic Layer suits organizations that need to bring data from on-premises, cloud, and SaaS systems into a governed foundation for analytics, BI, or AI agents. It is also relevant to teams that need reusable data products, business definitions tied to source metadata, and row-level controls.

What it does well

Connects to 270+ enterprise data sources.
Supports CDC, Reverse ETL, batch movement, and virtualization.
Business Data Shop publishes curated data products.
Includes row- and column-level masking and role-based controls.
Supports complex distributed queries with a parallel processing engine.
Platform architecture can run on-premises, in the cloud, or embedded.

What to know first

Pricing is available on request.
The listed platform is self-hosted.
Support hours are Monday through Friday, 9 a.m.–6 p.m. ET.

Getting started

Visit https://www.cdata.com/platform/semantic-layer/.
Request pricing from CData.
Deploy the self-hosted platform and connect enterprise data sources.
Use the Intelligent Business Glossary to pair business definitions with source data and metadata.
Publish curated datasets in the Business Data Shop for business users to browse and request.

Verdict

Choose CData Semantic Layer if your organization needs governed access to data across many enterprise sources, with reusable datasets and controls for analytics and AI. Look elsewhere if you need publicly stated pricing or a platform listing beyond self-hosted deployment.

Questions

What does CData Semantic Layer cost?

Pricing is available on request.

Is CData Semantic Layer self-hosted?

Yes. Self-hosted is the listed platform. The CData Platform's modular architecture is described as able to run on-premises, in the cloud, or embedded in a product.

How many data sources does it connect to?

It integrates with more than 270 enterprise data sources.

What data movement and access methods does it support?

It supports CDC, Reverse ETL, batch movement, and virtualization.

What governance features are included?

Features include dynamic role-based controls, row- and column-level masking, explainable audit trails, automated classification, and extensible policy frameworks.

Who makes CData Semantic Layer?

CData Software was founded in 2016 and is headquartered in Chapel Hill, North Carolina, United States.

Facts from CData Semantic Layer's own pages

Business glossary: Its AI-powered Intelligent Business Glossary pairs business definitions with source data and metadata. · cdata.com, 4 Oct 2026
Business modeling: The Connectivity Engine translates raw tables and APIs into relational data presented as business metrics, dimensions, and hierarchies. · cdata.com, 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. · cdata.com, 9 Oct 2026
Company: CData Software was founded in 2016 and is headquartered in Chapel Hill, North Carolina. · cdata.com, 4 Oct 2026
Connectivity: It connects to more than 270 enterprise data sources and supports CDC, Reverse ETL, batch movement, and virtualization. · cdata.com, 9 Oct 2026
Consumers: The page describes the product as a foundation for analytics, BI tools, and AI agents. · cdata.com, 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. · cdata.com, 4 Oct 2026
Deployment: The CData Platform page says its modular architecture runs on-premises, in the cloud, or embedded in a product. · cdata.com, 4 Oct 2026
Founded: 2016 · cdata.com, 28 Sept 2026
Governance: Built-in governance includes dynamic role-based controls, row- and column-level masking, automated classification, and explainable audit trails. · cdata.com, 9 Oct 2026
Headquarters: Chapel Hill, North Carolina, United States · cdata.com, 28 Sept 2026
Integrations: The product page names Google, SAP, Palantir, Zebra, Salesforce, UiPath, GSK, and Office Depot among its displayed organizations. · cdata.com, 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. · cdata.com, 9 Oct 2026
Intended users: The product is presented for enterprise analytics and AI, with centrally governed self-service access for business users. · cdata.com, 9 Oct 2026
Privacy compliance: CData says it complies with consumer data privacy regulations including GDPR and CCPA. · cdata.com, 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. · cdata.com, 9 Oct 2026
Query engine: CData describes an enterprise-grade massively parallel processing engine for complex distributed queries, high concurrency, and fast response times. · cdata.com, 9 Oct 2026
Sales and trial: The Semantic Layer page offers a demo and product tour; it does not state a price or trial terms. · cdata.com, 9 Oct 2026
Security certifications: CData says it has completed third-party SOC 2 Type II and ISO/IEC 27001:2022 compliance audits. · cdata.com, 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. · cdata.com, 4 Oct 2026
Source connectivity: It integrates with 270+ enterprise data sources and supports CDC, Reverse ETL, batch movement, and virtualization. · cdata.com, 4 Oct 2026
Support: CData lists technical support hours as Monday through Friday, 9 a.m. to 6 p.m. ET. · cdata.com, 9 Oct 2026

Where CData Semantic Layer stands on Freedom251

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