Awards

Denodo, the recognized innovator of data virtualization technology has been recognized and awarded for its technology from a variety of media outlets and industry organizations.

Denodo was announced as a winner for the Top 25 Marketing Vendor Award on the 2021 OnCon Icon Awards

The OnCon Icon Awards recognize the top marketers and marketing vendors in the entire world. The 2021 Awards were presented virtually at OnCon 2021 on January 20th. It is with great pleasure that Denodo was announced as a winner for the Top 25 Marketing Vendor Award. Voters selected vendors that they felt had a good mix of great products/services, have contributed to the marketing community with thought leadership, and who have been exceptionally innovative.

Trend-Setting Products in Data and Information Management for 2021

To help make the process of identifying useful products and services easier, each year Database Trends and Applications magazine presents a list of Trend-Setting Products. These products, platforms, and services range from widely accepted offerings that continue to evolve to meet the needs of their loyal constituents to breakthrough technologies that are in the early stages of adoption.

The Prestigious Ventana Research Annual Digital Leadership Award

Annual awards highlight technology leaders across business and IT. Congratulations to Denodo customers Prologis and 2U for securing finalist positions in big data and digital technology categories respectively.

Big Data 50—Companies Driving Innovation in 2020

To help organizations navigate through a rapidly changing big data ecosystem, each year, Big Data Quarterly presents the Big Data 50, a list of companies driving innovation. We encourage you to explore these companies by visiting their websites.

2020 DBTA Readers' Choice Awards: Denodo as Best Data Virtualization Solution

Database Trends and Applications magazine released the 2020 Readers’ Choice Awards winners, and Denodo have won the "Best Data Virtualization Solution". Congratulations also to Quest Foglight Evolve and IBM InfoSphere Federation Server for being finalist on this category. 

DBTA Trend-Setting Products in Data and Information Management for 2020

Key data management trends have emerged that are shaping the capabilities of IT products and services for 2020 and beyond.

Big Data 50—Companies Driving Innovation in 2019

To contribute to the discussion each year, Big Data Quarterly presents the “Big Data 50,” a list of forward-thinking companies that are working to expand what’s possible in terms of capturing, storing, protecting, and deriving value from data.

Denodo Wins Best Data Virtualization Solution

The votes have been counted and the results are in, Denodo has won the "Best Data Virtualization Solution" in DBTA's 2019 Readers’ Choice Awards.

DBTA 100 2019 - The Companies That Matter Most in Data

Recognizing benefits and challenges inherent in data management, each year, DBTA compiles a list of 100 companies that matter in data, showcasing vendors that are addressing the interconnected demands for hardware, software, and services that help customers unlock their data’s potential. Some are long-standing companies with well-established offerings that have evolved over time, and others are much newer to the data scene.

Trend-Setting Products in Data and Information Management for 2019

On the following pages, we present DBTA’s list of Trend-Setting Products for 2019. We encourage you to continue your exploration by visiting the companies’ websites for additional information.

Denodo Wins Best Data Virtualization Solution

The votes have been counted and the results are in, Denodo have won the "Best Data Virtualization Solution" in DBTA's 2018 Readers’ Choice Awards.

DBTA 100 2018 - “The Companies that Matter Most in Data”

Denodo named as one of DBTA's 100 Companies that Matter Most in Data. This sixth DBTA 100 list spans a wide variety of companies that are each addressing the evolving demands for hardware, software, and services. Some are long-standing companies with well-established offerings that have evolved over time, while others are much newer to the data scene.

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