2017 VIEW FROM THE TOP: Denodo

DenodoVIEW FROM THE TOP BY Paul Moxon, VP Data Architectures & Chief Evangelist

Most organizations face significant challenges when integrating data from various data sources and providing it to their business users in a timely manner. The growing adoption of Cloud computing makes this challenge even greater and one that traditional, replication-based technologies can’t handle. Organizations need a data integration platform that allows them to connect to their data and integrate and publish it as “fit for purpose” data services without physically consolidating the data to a centralized repository. This platform has to work with multiple data sources, technologies, formats, and protocols irrespective of whether the data is located on premise or in the Cloud.

The data integration platform needs to operate natively in the Cloud and in the data center and delegate processing to the most appropriate location for the data being processed. The volumes and cost of moving data means that the processing has to move to the data rather than the other way around. Using a platform that is on-premises-only or Cloud-only is not a viable solution for large, distributed data sets. A truly performant and scalable solution must be a platform that supports a real hybrid deployment model. That is, deployed both on-premises and in the Cloud with the ability to move the processing to the platform instance with the best data affinity.

Denodo’s award-winning Data Virtualization Platform supports a true hybrid deployment model —running natively in the Cloud and on premise. Processing can be delegated to the most appropriate location—minimizing the cost and effort integrating data across the Cloud and on premise systems. The Denodo Platform subscription model also allows organizations to dynamically increase processing power to support peak loads—and then just as easily revert back to normal loads. Denodo customers benefit from this type of agility, and experience a very high ROI from faster decision-making, the shortest time-to-data, and improved business-user productivity.