by Sue Raiber | May 10, 2024

Data Virtuality is now CData Virtuality

“One single data integration approach cannot solve the modern data integration problems.”
– Dr. Nick Golovin, Data Virtuality Founder

With this philosophy, Data Virtuality started their journey a decade ago to empower businesses to fully exploit their data potential through a unified data virtualization platform. As complexities in data management increased with the ever-growing number of data sources, users, and use cases, the importance of this foundational mission became even more critical.

In pursuit of a shared mission—to simplify the interaction between users and data—Data Virtuality has merged under the CData brand. Together, we are dedicated to enhancing this mission by offering enterprises a sophisticated data virtualization solution.

Enter: CData Virtuality

Addressing increasing complexity with enterprise-grade data virtualization

CData Virtuality addresses the evolving needs of business with agile and flexible data integration methods essential for AI initiatives, adaptable data architecture, enhanced self-service capabilities, and cloud-native readiness.

“With AI, delivering data to business is the topic on its own. It should be solved separately and in parallel to the question of where and how to store the data,” said Amit Sharma, CData CEO and co-founder. In that vein, CData Virtuality’s sophisticated data virtualization approach avoids the need for unnecessary physical data movement to enable rapid model adjustments within a semantic layer for quick data delivery. The platform provides:

• Foundational data integration for AI initiatives: CData Virtuality builds a solid data integration and management foundation needed to deliver precise and high-quality datasets swiftly, meeting the dynamic needs of AI projects.
• Data architecture flexibility: CData Virtuality supports optimal management of diverse data types across multiple environments. This flexibility supports modern data architecture designs like hybrid- and multi-cloud, data fabric, and data mesh.
• Enabling business users: CData Virtuality provides a governed catalog of business-friendly data views, enabling business users to find or create the necessary datasets via intuitive interfaces. This independence from IT support empowers users to contribute directly to business outcomes.
• Cloud-native data integration: Supporting a broad mix of data integration methods, CData Virtuality caters to both rapidly expanding cloud-resident data and traditional on-premises sources. It ensures high reliability, availability, and scalability. The shift to a cloud-native framework reduces routine IT maintenance tasks, allowing the team to focus on strategic improvements in agility, architecture, and security.

Investing in joint vision with complementary products

CData customers can now enjoy an enterprise data virtualization platform with features such as fine-grain security, different integration styles, and advanced data virtualization techniques.

“We’re delivering a product roadmap for our customers that is exciting and new in the market, and we are all working together to do so,” said Sharma.

Existing Data Virtuality customers are already showing great interest in the additional connectivity options. It's akin to shoppers in a dress store, trying on different styles to see which fits best. Ready to browse? Check out our full suite of products!