IBM Data Virtualization (original) (raw)
Overview
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
