Overview
What is IBM® Data Virtualization?
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. Available through the data fabric capabilities of the IBM Cloud Pak® for Data platform, IBM Data Virtualization is vendor agnostic and a key piece in modernizing your data architecture to accelerate digital transformation.
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How IBM Data Virtualization is used
Optimize data access
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
Deliver quality data
Ensure better business outcomes by more easily integrating well-governed data from across a hybrid landscape.
Govern data centrally
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
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.
Benefits
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.
Available fully managed
Achieve flexibility and deploy how you need it with virtualization capabilities as a service or on premises.
See how IBM data management solutions drove a 241% ROI in Forrester’s 2022 Total Economic Impact Report for Data Management
Capabilities
Complete view
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
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
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
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.
Features
Simplify your data landscape
Distributed query engine
Eliminates data migration and executes against data repositories regardless of data type or structure.
Object Storage compatibility
Facilitates independent scaling of storage when used in place of traditional block storage.
Pre-integrated data cataloging
Automates data governance and cataloging to help ensure data validity and quality.
Resources
Improving data access
Learn how IBM Data Virtualization helps simplify your data access.
Four use cases defining the new wave of data management
See which topics are most pressing and how data virtualization helps simplify data access across use cases.
2022 Gartner® Magic Quadrant™ for Data Integration
Discover why IBM is named a Leader for the 17th year in a row in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools.
Get started
See how IBM Data Virtualization works within the IBM Cloud Pak for Data data fabric.