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CData Virtuality
 

Data virtualization for the enterprise

Empower your data journey with versatile data virtualization built for enterprise workloads.

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The CData Virtuality difference


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Instant access to all sources

Get live access to 200+ sources for faster insights.

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High-performance data engine

Efficiently handle large volumes of data with a virtual access layer, complete with caching, query push-down, and materialization features.

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Unified security & governance

Manage your enterprise data with centralized controls for data quality, security, and compliance.

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Cost-effective & flexible

Reduce total-cost-of-ownership and simplify integration with SaaS, on-premises, and self-hosted cloud deployment options.

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Future-proof and agile data virtualization

Elevate your data integration and management with a solution built for evolving data requirements.

  • Multiple integration styles, including virtualization, ETL/ELT, CDC, and streaming, are combined for higher flexibility and productivity
  • Instant access to data 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
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Future-proof, agile data connectivity



Flexible deployment options

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

One platform for all data initiatives

Data fabric illustration

Data fabric

Provide seamless data access and processing, ensuring a consistent view of data enterprise-wide.

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Data mesh illustration

Data mesh

Decentralize data ownership for a scalable, domain-centric, business-focused architecture.

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Semantic layer illustration

Semantic layer

Create a unified data model, enabling standardized enterprise-wide analytics.

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Data governance illustration

Data governance

Ensure secure data access, control and ownership across multiple databases and platforms.

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CData Virtuality powers data management initiatives for enterprises worldwide


Crédit Agricole Cuts Costs by 80% and Speeds Time-to-Market

“Now that the developers as well as business analysts can use the solution, we are not only more efficient, but also cut cost by 80%.”

— Fred Dunant
Manager, Data Management Office, Crédit Agricole


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PGGM Streamlines Data Delivery Processes

“We significantly reduced time-to-market from weeks or months to several hours or even minutes while ensuring data governance — who has access to what, why do they have access, and is the data used securely.”

— Marco van der Winden
Manager, Corporate Data Management, PGGM


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Maximize your impact with CData Virtuality


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Data Architect

With CData Virtuality, you have an all-in-one data virtualization, ETL/ELT, CDC, and streaming solution. Take advantage of a modern, flexible data architecture to evolve your data strategy and meet changing business needs.

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Business Analyst/Head of Data

Get quick, easy access to data, data models, and metadata in a central data layer, allowing you to dive into analysis and ensure quick time-to-market.

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DevOps

Integrate seamlessly with DevOps systems and CI/CD processes via GitHub, streamlining your workflows. With CData Virtuality SaaS, we manage installation and maintenance so you can focus on delivering quality software.

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Data Engineer

With only SQL skills at-hand, quickly deliver more data views, faster – thereby realizing more business value, sooner.

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Security & Compliance

Data security, permissioning, anonymization, data masking, encryption, and change logs are all available in CData Virtuality, making in easy to ensure data security and compliance.

Technical features

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.

The Business Data Shop offers metadata catalog and search, self-service data access, query read/write, and downloaded data.

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 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.

Deployment types include SaaS, self-hosted cloud, on-premises, and hybrid environments.

CData Virtuality features a self-learning recommendation engine, materialized source tables and virtual views, automatic index creation, and query optimization.

CData Virtuality offers a Kafka connector and continuous record sets.

Get instantaneous explanations of SQL queries with the SQL AI Assistant.

News & insights

Press Release
CData Acquires Data Virtuality to Modernize Data Virtualization for the Enterprise
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Blog
Announcing CData Virtuality 4.8: Resource Governor, Time-Zone Based Job Management, and More Connectors
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Whitepaper
The Comprehensive Handbook of Data Integration
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Webinar
Diverse, Integrated, and Real Time: Delivering the Right Data for AI/ML Success
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Reviews
CData Virtuality Platform reviews on Gartner Peer Insights
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Guide
Compare CData Virtuality vs. Denodo
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Customer
NYU Data Virtualization Expedition
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Virtual event
Foundations
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Community
CData Community
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Get started with CData Virtuality today

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