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Data Virtualization


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.

Data Virtualization
Data Virtualization

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:

LDF Architecture

Simplifies data integration

quickly gaining unified views from disparate sources.

Unifies data security

and data governance management efforts by centralizing related functions

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

Powered by Data virtualization
Data Virtualization

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.

Data Virtualization

The Business Impact of Data Virtualization, Using The Denodo Platform

Data Virtualization

Data Virtualization Enables Modern Data Architectures and Use Cases

Data Virtualization graphic

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

Data Virtualization Helps Everyone in the Organization to Succeed

Data Virtualization

Customer Success Stories

Denodo customers leverage a logical approach to data management. With this approach, they have modernized their IT infrastructures, democratized data access, enhanced operational efficiency, improved customer experience, and streamlined governance, risk, and compliance initiatives. These leading organizations have chosen to manage data intelligently, with the Denodo Platform, making them fearless in pursuit of innovation. Our customers have voted us as a Gartner® Peer Insights Customers’ Choice four years in a row, with an average rating of 4.6 out of 5, as of 2024.

Learn more about our customers’ real-world experiences and results with Denodo.

Gartner Peer Insight

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