Overview

Cloud Pak for Data 4.7 is here. Find out what's new

How IBM Data Virtualization is used

Optimize data access

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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

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Deliver quality data

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

Govern data centrally

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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

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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

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Improve performance through intelligent caching.

Reduce workload

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Query data where it resides, including data lakes, minimizing movement and copies.

Capitalize on end-to-end data governance

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Leverage cataloging technology to ensure queries are run on high-quality, valid data.

Cut costs with independent scaling

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Gain independent scaling of compute and storage with zero downtime.

Available fully managed

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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

IBM Cloud Pak for Data data source preview 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.

Create catalog for governance and user management

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.

Connect your sources

IBM Cloud Pak for Data New connection creation dashboard with 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.

Intelligent caching

Data virtualization dashboard showing cache management graphs and charts

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.