ABSTRACT
Modern data virtualization platforms are increasingly becoming a critical part of data architectures for the digitally transformed. Many data virtualization platforms provide data as a service, data preparation, data catalog, logically centralized governance, the ability to join disparate data sets, and an extensive list of query performance optimizations. Likewise, data virtualization platforms are increasingly being used to support six different and critically important use cases. This research evaluates and ranks the various modern data virtualization platforms according to their architectural capabilities and ability to successfully meet popular use cases.