Wednesday, June 12, 2024

Denodo Data Integration: Product Overview and Insight

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Bottom Line:

Denodo’s real claim to fame is its speed. Leveraging in-memory technology and optimization capabilities, it offers real-time performance that sets it apart from other solutions. Its low-code development environment is best for data scientists and citizen developers, and it does not require any programming knowledge. The company offers data virtualization, a modern approach to data integration that can connect disparate data sources and provide the necessary transformations.

Jump to: Denodo Features Table

Company Description:

Denodo’s primary focus is on data virtualization, which it defines as “synonymous with information agility — it delivers a simplified, unified and integrated view of trusted business data in real time or near real time as needed by the consuming applications, processes, analytics or business users.” Gartner listed the company as a Challenger in the most recent Magic Quadrant for Data Integration. The analyst firm also noted that Denodo’s mindshare is growing and that it was mentioned in nearly 95 percent of Gartner’s client inquiries regarding data integration.

Founded in Spain in 1999, Denodo moved to Silicon Valley in 2005. The company has approximately 500 customers, including AAA, Autodesk, Charter Communications, Chick-fil-A, Digital Realty, E&J Gallo Winery, Lilly, Indiana University, National Institutes of Health, Oppenheimer Funds, Seagate, Telefonica, the U.S. Department of Veterans Affairs and Vodafone. It is privately held with an estimated $26.6 million in annual revenue.

Product Description:

Denodo claims that it can “access, integrate, and deliver data 10x faster and 10x cheaper than any other middleware solution.” Its data virtualization platform offers ETL, data replication, data federation, Enterprise Service Bus (ESB) and other integration capabilities in real time. The company also boasts that in some cases it can reduce the need for replicated data marts and data warehouses. It incorporates parallel in-memory fabric and dynamic query optimization for extremely fast performance. However, it lacks some of the capabilities of other data integration tools, and the company admits that it is sometimes necessary to run ETL tools alongside Denodo.



On-premises, private cloud or public cloud (AWS or Azure)



System Requirements:

Denodo runs on any operating system compatible with Java 1.8 or greater, including Windows, Linux, Unix and Solaris. It requires at least a quad-core processor (although some complex projects may require eight cores or more), 16 GB RAM and 5 GB of storage space (100 GB recommended).


Accepts data from most common enterprise sources, including IBM DB2, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SAP HANA, GreenPlum, Teradata, AWS, Apache Hive, Impala, Spark, Presto, Microsoft Azure, Google, Facebook, Salesforce and many others.

Design and Development Environment:

Low-code, drag-and-drop interface designed for “data-oriented developers such as data engineers, power users, and citizen integrators.” Integrates with Subversion, Microsoft Team Foundation server and Git.

Key Capabilities

  • Data modeling
  • Data catalog
  • Dynamic Query Optimization
  • In-memory technology
  • Data masking
  • Data lineage
  • Data quality
  • Hybrid and multi-cloud support
  • Web-based interface
  • Scheduler
  • Monitoring
  • Advanced security

Support and Services:

Professional advisory, assessment, quick start and engineering services, plus training and support available


Not disclosed

Denodo Features Table

Features Denodo
Deployment On-premises, private cloud or public cloud (AWS or Azure)
System Requirements
Operating System Windows, Linux, Unix, Solaris
Processor Quad-core (8 cores for some situations)
Storage 5 GB (100 GB recommended)
Software Java 1.8 or greater
Connectors IBM DB2, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SAP HANA, GreenPlum, Teradata, AWS, Apache Hive, Impala, Spark, Presto, Microsoft Azure, Google, Facebook, Salesforce and many others
Design and Development Environment Low-code, drag-and-drop interface
Key Capabilities
Data Quality Yes
Data Governance Yes
Others Data virtualization, in-memory technology,
Support and Services Training, support, professional services
Gartner Magic Quadrant Rating Challenger
Price Not disclosed

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