IBM Data Virtualization is a universal query engine that executes distributed and virtualized queries across databases, data warehouses, data lakes, and streaming data without additional manual changes, data movement or replication.
Improve performance through intelligent caching.
Query data where it resides, including data lakes, minimizing movement and copies.
Leverage cataloging technology to ensure queries are run on high-quality, valid data.
Gain independent scaling of compute and storage with zero downtime.
Unify data across any cloud, warehouse, data lake or database. Empower users to fully exploit all your data for innovation.
Ensure better business outcomes by more easily integrating well-governed data from across a hybrid landscape.
Enforce governance policies when data is accessed across multiple sources, quickly providing data to your end applications through a single view without the need for any manual changes, data movement or replication.
Enable access to multiple, diverse data sources through a data virtualization layer while appearing to users and applications as a single logical data source with a logical data warehouse architecture.
Learn how businesses can simplify data governance and privacy to create a trusted, business-ready data foundation.
Get a single view of data across hybrid data sources—without data movement, and in a secure, governed fashion.
Preview all connected data sources quickly, in one view. Automatically find and match tables across systems to query them as a single object.
Manage all permissions in a virtual layer, empowering data consumers to get the data needed for the task at hand without compromising privacy or regulatory requirements.
Get quick access across deployment methods, repositories and data types. Watson Query can query multiple sources, including on-premises data warehouses, SaaS databases and cloud object stores.
Monitor your workload and get recommendation when caching. The service contains an advanced, optimizer-integrated, data-caching solution that can cache tables and queries, offering precomputed result sets for faster analysis.
Preview all connected data sources quickly, in one view. Automatically find and match tables across systems to query them as a single object.
Manage all permissions in a virtual layer, empowering data consumers to get the data needed for the task at hand without compromising privacy or regulatory requirements.
Get quick access across deployment methods, repositories and data types. Watson Query can query multiple sources, including on-premises data warehouses, SaaS databases and cloud object stores.
Monitor your workload and get recommendation when caching. The service contains an advanced, optimizer-integrated, data-caching solution that can cache tables and queries, offering precomputed result sets for faster analysis.
See how IBM Data Virtualization works within the IBM Cloud Pak for Data.