Data Virtualization tools are being deployed by companies that want to light a fire under their Data Discovery projects. With more modern, distributed analytics solutions becoming the new norm, companies crave the ability to obtain one single view of the totality of their data without having to do anything to it. As an added benefit, users are able to make real-time changes to data sets without disrupting the data as it physically sits, allowing them to virtually integrate disparate data sources quickly.
In Gartner’s recent Market Guide for Data Virtualization, the technology research giant goes into detail describing what kind of an impact Data Virtualization will have on the enterprise in the years to come. Virtualization tools offer data and analytics professionals a Data Integration strategy to limit data silos and address new analytical opportunities through enhancements in data access. As a strategic planning assumption, Gartner projects that by 2020, 35 percent of enterprise organizations will implement Data Virtualization in some form as a more forward-thinking option for Data Integration.
Whether its inclusion in the most recent Gartner Magic Quadrant, the release of an interesting new tool, or the securing of a new round of funding, these are the top 4 Data Virtualization providers we are keeping our eye on for 2017 and beyond:
Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.