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.
Achieve speed and simplicity
Improve performance through intelligent caching.
Reduce workload
Query data where it resides, including data lakes, minimizing movement and copies.
Capitalize on end-to-end data governance
Leverage cataloging technology to ensure queries are run on high-quality, valid data.
Cut costs with independent scaling
Gain independent scaling of compute and storage with zero downtime.
How IBM Data Virtualization is used
Optimize data access
Unify data across any cloud, warehouse, data lake or database. Empower users to fully exploit all your data for innovation.
Deliver quality data
Ensure better business outcomes by more easily integrating well-governed data from across a hybrid landscape.
Govern data centrally
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.
Create a logical data warehouse
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.
Use cases
Data governance
Learn how businesses can simplify data governance and privacy to create a trusted, business-ready data foundation.
Preview all connected data sources quickly, in one view. Automatically find and match tables across systems to query them as a single object.
Create catalog for governance and user management
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.
Connect your sources
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.
Intelligent caching
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.
Complete view
Preview all connected data sources quickly, in one view. Automatically find and match tables across systems to query them as a single object.
Create catalog for governance and user management
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.
Connect your sources
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.
Intelligent caching
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.
Take the next step
See how IBM Data Virtualization works within the IBM Cloud Pak for Data.