Bring disparate data into the hands of users 80% faster

CData Virtuality is an independent semantic layer that bridges the gap in your heterogeneous data landscape through four key pillars: connectivity, modeling, governance, and data product delivery.

Unanet
B/S/H
Credit Agricole
PartnerRE

CData Virtuality's four key pillars: The difference


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Seamlessly connect heterogeneous data — bridging the gap between digital platforms and legacy systems for real-time insight

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Accelerate data preparation with no scale limitations — bridging virtual and physical data models

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Centralize data governance — providing holistic management of physical and virtual data assets with corresponding business, operational, and technical metadata

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Deliver data products across disparate environments — put the right data into the hands of the right users at the right time

CData Virtuality in your modern data architecture

Data Consumers
icon Business Intelligence Tools
icon AI & ML
icon Apps
icon Microservices
CData Virtuality
Data Product Delivery
Self-service data access
Real-time and batch delivery
Integration with BI, Analytics, and AI Tools
Multi data format output
Central Data Governance and Metadata Management
Data catalog
Data lineage
Column masking
Row-based security
Integration with third party data governance
Data Modeling
Logical data models
Low-code: View Builder
Procedural SQL
Structure optimization
Data Connectivity
300+ connectors
Real-time data
Data Sources
icon Data Warehouse, Databases
icon Data Lake, No SQL Storages
icon Data Lakehouse
icon Online Analytics
icon Streaming, Kafka
icon Cloud, API, SaaS
icon Files (CSV, JSON, XML)
icon 300+

Ready to see more?

The benefits of CData Virtuality

IT Perspective
Business Perspective
Data connectivity

Integrate heterogeneous data sources with 300+ connectors easily, breaking down data silos and reducing custom coding and maintenance efforts.

Gain real-time insights, greater visibility, and faster, more informed decision-making with a complete, unified view of data from all sources, eliminating data gaps.

Data modeling

Test, iterate, and deploy new data solutions faster through rapid prototyping using a mix of low-code and code-based options, increasing agility and reducing time-to-market for growth.

Accelerate analytics and reporting by adapting quickly to new business needs, ensuring faster, data-driven decisions and a competitive edge.

Central Data Governance and Metadata Management

Consistently apply access controls and policies across systems, enhancing compliance and security.

Reduce risk associated with inconsistent or unsecured data and rely on trustworthy, consistent data.

Data product delivery

Deliver data products across disparate environments and enable self-service data access, reducing IT workload by empowering stakeholders to retrieve and analyze data independently.

Take action independently, boost productivity, and provide swift responses to market changes by using a central data access point to quickly analyze data.

Customer Rating
100% would recommend

“CData Virtuality's large selection of connectors to various data sources, especially to marketing platforms, gives us the opportunity to integrate new data sources for our clients in a timely manner. We would also like to highlight their support team for the fast and helpful communication.”

Data Engineering Manager

“The level of commitment is outstanding because of level of commitment, speed to market, flexibiliy and ability to anticipate to specific needs. Not only from a sales point of view as much as the cooperation with the R&D Engineering Teams.”

Analytics Practice Principal

“We've been using Data Virtuality for several months and it's become one of our primary tools used for data virtualization, and empowering end users to do their own analysis by providing a single place to rapidly provide data sets no matter where the data is sourced from.”

Director, Business Analytics

Our key pillars in action


Crédit Agricole logo

Crédit Agricole reduced time-to-market by 5x and lowered costs by leveraging the wide range of ready-to-use connectors and rapid data modeling.

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Healthcare icon

A public healthcare provider improved hospital operations, reduced costs, and accelerated AI initiatives through enhanced connectivity, centralized data governance, and flexible data delivery.

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PGGM logo

PGGM became a data-driven organization by creating a central data access layer with unified data governance, simplifying data product delivery and bridging the gap between data and users.

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Areeba logo

Areeba solved the 80/20 data science dilemma, significantly boosting productivity and efficiency through streamlined data connectivity and data delivery.

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With CData Virtuality, you can


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Build a central data access layer

that unifies complex data, allowing data citizens to perform self-service analytics with ease and efficiency.

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Adopt a data mesh architecture

to boost organizational agility and flexibility, empowering domain teams to independently manage their data products.

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Establish a data fabric

to enhance operational efficiency, simplify infrastructure, and cut costs.

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Accelerate AI initiatives

with a robust data foundation, delivering high-quality, trusted, real-time data to power your AI models.

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Integrate hybrid- and multi-cloud architectures

to lower operational costs and enhance business continuity.

See how CData Virtuality fits your needs