Data Virtuality

Data Virtuality: Data Integration & Management Platform

Data Virtuality connects various data sources, providing analytics and application access with ETL capabilities and data virtualization for unified distributed data access.

What is Data Virtuality?

Data Virtuality is an enterprise data integration and data management platform that connects various sources of data across an organization and makes that data available for business intelligence, analytics, and other applications. It combines traditional ETL (extract, transform, load) capabilities for data warehousing with data virtualization techniques that provide unified access to distributed data sources without replicating data.

Key capabilities and benefits of Data Virtuality include:

• Connecting to a wide array of data sources including relational databases, NoSQL datastores, cloud applications, big data systems, and more
• Automated and reusable data integration flows for efficient ETL
• A logical data layer that abstracts the technical complexities of source systems
• Data virtualization for unified access to distributed data without replication
• Caching and optimization techniques for high performance query processing
• Self-service access to data for business users through non-technical interfaces
• Governance capabilities such as data lineage, auditing, security, and metadata management

Data Virtuality can deployed on-premises or in the cloud. It enables organizations to support a range of data integration styles from traditional ETL to modern data virtualization, providing flexibility and agility in how data is made available for business use cases.

Data Virtuality Features

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