Data Virtualization

An overview
To move quickly, organizations need to be able to make effective, data-driven decisions. But data is often spread across the enterprise, making it hard to use, which slows a business down and exposes it to risks. In short, agile data management has become a mission-critical business competency. For this reason, many organizations augment their traditional data management capabilities with a logical approach.

What is Data Virtualization?

Data virtualization is the core technology that enables logical data management capabilities. Data virtualization establishes a single data-access layer for finding and using all enterprise data, comprised of logical/virtual representations of physical data sources like data warehouses, data lakes, transactional and analytical databases, cloud and enterprise applications' data services and APIs, and data files. With this centralized, logical layer, data virtualization enables real-time access to data stored across multiple heterogeneous data sources.

Logical data management, powered by data virtualization, reduces data integration and delivery costs while boosting management efficiency and agility. Data virtualization greatly:

Data integration

Simplifies data integration, quickly gaining unified views from disparate sources

Data management

Unifies data security and data governance management efforts by centralizing related functions

Real time

Accelerates data delivery while delivering data in the format needed by each consumer for informed decision-making

Data Virtualization capabilities offer an access and delivery layer that can serve as the foundation for the logical data fabric, which offers significant automation functions in the data management space. These include automation of data recommendations, data quality, data governance and policy, on top of the core integration functions of data virtualization.”

Gartner Assessing the Relevance of Data Virtualization in Modern Data Architectures, June 2021

The Critical Capabilities of Data Virtualization


Logical Data Abstraction

Represents all data assets in an abstracted form, decoupled from the source systems that store the data.


Smart Query Acceleration

A single application with high-performance data access combining the power of a best-in-class multi-source query optimizer, a next-gen MPP engine, and AI-powered query acceleration.


Advanced Semantics

Offers a data catalog that simplifies data discovery with AI-driven recommendations and collaboration features that leverage business semantics that adapt to the needs of data consumers.


Universal Connectivity and Data Services

Easily connects to a wide range of data sources and enables publishing for easy sharing via standard interfaces like SQL, JSON, REST, and GraphQL APIs.


Flexible Data Integration

Flexibility adapts to a wide range of use case requirements, from real-time federation to selective materialization (caching, aggregation-aware summaries), full replication (ETL, ELT, micro batching), and streaming.

Unified Security and Governance

Enables the centralized application of governance and fine-grained security policies that apply to any data and any access method, along with comprehensive data activity audit logs.

The Business Impact of Data Virtualization, Using The Denodo Platform

Profit Growth

The Denodo Platform provides the data your organization requires to increase revenue and reduce costs.

Risk Reduction

The Denodo Platform delivers real-time data that helps manage business risks and reduce compliance penalties. In addition, the Denodo Platform’s rapid development and quick-iteration capabilities help reduce IT project risks.

Time-to-Value Acceleration

With the Denodo Platform, data-driven projects are completed more quickly, so business benefits are derived sooner. Lower project costs are an additional time-to-solution benefit.

Technology Optimization

The Denodo Platform improves the utilization of existing server and storage investments. And with less data replication, hardware and governance savings are substantial.

Staff Productivity

The Denodo Platform’s easy-to-use, high-productivity design and development environments improve data engineering productivity.

Data Virtualization Enables Modern Data Architectures and Use Cases

illustration DV

As demand for data grows, organizations need to shorten time-to-value by accelerating data engineering efforts. Most current approaches are too slow and costly, they cause reinvention, and they can lead to inconsistent data. Data virtualization, in contrast, provides an agile approach to creating data products. With data virtualization, data products can be governed in one place and provisioned to consumers without replication. Data virtualization is an excellent foundation for modern distributed data architecture and use cases.

Data Virtualization Helps Everyone in the Organization to Succeed


Data Architects

Data virtualization adds data integration flexibility so data architects can successfully evolve their data strategies and architectures to take full advantage of the latest data technologies and innovations.


Data Engineers

Easy to learn and highly productive to use, data virtualization enables data engineers to deliver more data views, faster, so they can realize more business value, sooner.


Data Scientists and Analysts

Data virtualization provides data scientists and analysts with instant access to all the data they want, the way they want it.


Analytics Leaders

Data virtualization simplifies and accelerates access to the data needed to fuel analytics and applications.


CIOs and CTOs

Data virtualization’s agile integration approach enables CIOs and CTOs to respond more quickly to ever-changing business needs and do so for less of an investment.


Data Stewards

Data virtualization helps data stewards implement and enforce enterprise data models and standards to provide consistent, secure, and governed data.

Customer Success Stories

The Denodo Platform provides Amgen with a constant flow of real-time manufacturing data, real-time human operations data, and real-time lab data."

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It was always hard to complete data integration projects within time at Engie Mexico. Often it would take around three to six months and in certain cases even a year to deliver a data integration project. Denodo changed this for us; we can now deliver a full integration project in two weeks.”

Luis Guadarrama, Head of Data and Analytics, Engie Mexico
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Denodo’s data virtualization technology has played an important role in enabling our business users to garner valuable information through self- service reporting. The Denodo Platform has significantly increased the speed at which business is carried out at Seacoast Bank."

Seacoast Bank
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The Denodo Platform enabled us to better understand how data is being used within our organization, which helped us to identify similar data sets being used across multiple departments. Leveraging the Denodo Platform has removed the need to reconcile data across those different departments and has also sped up the turnaround time for making this data available, by introducing automation."

Bernhard Mcgregor, BI Manager
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What's Next?

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