For decades, companies have tried to break down silos by copying data from different operational systems into central data stores for analysis, such as data marts, data warehouses and data lakes. These methods can be costly and are prone to error. Most struggle to manage an average of 33 unique data sources, which are diverse in structure and often trapped within inaccessible data silos. With Data Virtualization, you can query data across many systems without having to copy and replicate it, saving time and reducing costs. Data Virtualization queries data from its source, simplifying your analytics by providing the latest and most accurate data.
Get up-to-date analytics across distributed data sources, with no need to store data outside of your data center. Experience a single data repository where your SQL applications can connect and run.
Leverage networked devices for polynomial processing gains. Automatically self-organize your data nodes into a collaborative network for computational efficiency. Define constellations with large or small data sources.
Data is never cached in the cloud or on other devices. Credentials for your private databases are encrypted and stored on your local device.