Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Data virtualization for the enterprise
Empower your data journey with versatile data virtualization built for enterprise workloads.
![diagram](../ui/img/virtuality/cdata-virtuality_diagram.png)
The CData Virtuality difference
Instant access to all sources
Get live access to 200+ enterprise sources, querying without ETL pipelines for faster insights.
High-performance data engine
Efficiently handle large volumes of data with a virtual access layer, complete with caching, query push-down, and materialization features.
Unified security & governance
Manage your enterprise data with centralized controls for data quality, security, and compliance.
Cost-effective & flexible
Reduce total-cost-of-ownership and simplify integration with SaaS, on-premises, and self-hosted cloud deployment options.
Future-proof, agile data connectivity
Elevate your data operations with a connectivity platform built for evolving data requirements.
- Instant connections to sources, metadata tools, and data consumers
- Semantic data layer for complete data visibility
- Centralized access control and audit trails for robust data governance
- An integrated data shop to empower business users to retrieve data sets
Flexible deployment options
Choose a deployment method that works best for your operational requirements. Options include:
- SaaS (lowest TCO, fully-managed)
- Self-hosted cloud
- On-premises
CData Virtuality powers data management initiatives for enterprises worldwide
Renew Financial Builds the Foundation for Self-Service BI Initiatives
“We decided to go with CData Virtuality because it reduced our development time by over 80%. If we were to use the old ETL tool it would have taken us six months, but with CData Virtuality it took us two.”
— Mai Doan
Renew Financial Senior BI Manager
Learn more
Technical features
Deployment options
Deployment types include SaaS, self-hosted cloud, on-premises, and hybrid environments.
Data virtualization
Virtualization features include cross-database joins, nested loop, merge join, dependent semi-join, cross-database unions, cross-database SELECT INTO and INSERT INTO, and dynamic cost-based query optimization.
Self-service data catalog
The Business Data Shop offers metadata catalog and search, self-service data access, query read/write, and downloaded data.
Streaming
CData Virtuality offers a Kafka connector and continuous record sets.
Data governance
Robust data governance features include automatic data lineage, column-level data lineage, column masking, and connectivity with specialized governance tools like Collibra and Dataspot.
Security, authentication, and auditability
Security features include row-based security; Git integration; built-in user/role-based permission system; permission granularity on schema, table, and column levels; LDAP authentication (Active Directory, ForgeRock, etc.); versioning for all custom metadata; access to audit information and usage statistics; and SSL/TLS and HTTPS security protocols.
Optimization
CData Virtuality features a self-learning recommendation engine, materialized source tables and virtual views, automatic index creation, and query optimization.
AI features
Get instantaneous explanations of SQL queries with the SQL AI Assistant.