Denodo: Product Assessment and Perception

Backside Line:

Denodo’s genuine declare to repute is its pace. Leveraging in-memory generation and optimization functions, it gives real-time efficiency that units it with the exception of different answers. Its low-code construction atmosphere is easiest for records scientists and citizen builders, and it does no longer require any programming wisdom. The corporate gives records virtualization, a contemporary solution to records integration that may attach disparate records resources and give you the vital transformations.

Soar to: Denodo Options Desk

Corporate Description:

Denodo’s number one center of attention is on records virtualization, which it defines as “synonymous with data agility — it delivers a simplified, unified and built-in view of depended on industry records in genuine time or close to genuine time as wanted via the eating programs, processes, analytics or industry customers.” Gartner indexed the corporate as a Challenger in the latest Magic Quadrant for Knowledge Integration. The analyst company additionally famous that Denodo’s mindshare is rising and that it was once discussed in just about 95 p.c of Gartner’s shopper inquiries relating to records integration.

Based in Spain in 1999, Denodo moved to Silicon Valley in 2005. The corporate has roughly 500 consumers, together with AAA, Autodesk, Constitution Communications, Chick-fil-A, Virtual Realty, E&J Gallo Vineyard, Lilly, Indiana College, Nationwide Institutes of Well being, Oppenheimer Finances, Seagate, Telefonica, the U.S. Division of Veterans Affairs and Vodafone. It’s privately held with an estimated $26.6 million in annual earnings.

Product Description:

Denodo claims that it might probably “get admission to, combine, and ship records 10x quicker and 10x inexpensive than another middleware resolution.” Its records virtualization platform gives ETL, records replication, records federation, Undertaking Provider Bus (ESB) and different integration functions in genuine time. The corporate additionally boasts that during some instances it might probably cut back the will for replicated records marts and knowledge warehouses. It comprises parallel in-memory cloth and dynamic question optimization for terribly speedy efficiency. Then again, it lacks one of the most functions of alternative records integration gear, and the corporate admits that it’s infrequently vital to run ETL gear along Denodo.



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



Device Necessities:

Denodo runs on any working device appropriate with Java 1.eight or better, together with Home windows, Linux, Unix and Solaris. It calls for a minimum of a quad-core processor (even if some advanced initiatives would possibly require 8 cores or extra), 16 GB RAM and five GB of space for storing (100 GB really helpful).


Accepts records from maximum commonplace undertaking resources, together with IBM DB2, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SAP HANA, GreenPlum, Teradata, AWS, Apache Hive, Impala, Spark, Presto, Microsoft Azure, Google, Fb, Salesforce and plenty of others.

Design and Building Setting:

Low-code, drag-and-drop interface designed for “data-oriented builders akin to records engineers, energy customers, and citizen integrators.” Integrates with Subversion, Microsoft Crew Basis server and Git.

Key Functions

  • Knowledge modeling
  • Knowledge catalog
  • Dynamic Question Optimization
  • In-memory generation
  • Knowledge protecting
  • Knowledge lineage
  • Knowledge high quality
  • Hybrid and multi-cloud improve
  • Internet-based interface
  • Scheduler
  • Tracking
  • Complex safety

Beef up and Services and products:

Skilled advisory, review, fast get started and engineering services and products, plus coaching and improve to be had


No longer disclosed

Denodo Options Desk




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

Device Necessities


Running Device

Home windows, Linux, Unix, Solaris


Quad-core (eight cores for some scenarios)


16 GB


five GB (100 GB really helpful)


Java 1.eight or better


IBM DB2, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SAP HANA, GreenPlum, Teradata, AWS, Apache Hive, Impala, Spark, Presto, Microsoft Azure, Google, Fb, Salesforce and plenty of others

Design and Building Setting

Low-code, drag-and-drop interface

Key Functions








Knowledge High quality


Knowledge Governance



Knowledge virtualization, in-memory generation,

Beef up and Services and products

Coaching, improve, skilled services and products

Gartner Magic Quadrant Score



No longer disclosed

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