IBM Data Virtualization

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.

Group of people sitting around a table collaborating and working together in a professional setting

Deliver quality data

Ensure better business outcomes by more easily integrating well-governed data from across a hybrid landscape.

Two people working together on the same laptop in a collaborative environment

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.

Three people working in a dimly lit office environment, focusing on their tasks

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

Master data explorer dashboard of IBM Cloud Pak for Data

Data governance

Learn how businesses can simplify data governance and privacy to create a trusted, business-ready data foundation.

Data integration

Get a single view of data across hybrid data sources—without data movement, and in a secure, governed fashion.

Capabilities

Complete view
Complete view
Complete view
Catalog view
Catalog view
Connect your sources
Connect your sources
Connect your sources
Connect your sources

IBM Cloud Pak for Data Source visualization dashboard

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.

IBM Cloud service authorization dashboard

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.

IBM Cloud Pak for Data New connection creation dashboard with a list of connection types

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.

Data virtualization dashboard displaying charts and tables for cache management.

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

Take the next step

See how IBM Data Virtualization works within the IBM Cloud Pak for Data.

Try it free

More ways to explore

Get information on pricing

See product documentation

Blog article: Improving data access

Read blog posts