Data virtualization platforms like Denodo, TIBCO, IBM Cloud Pak for Data, SAP HANA Smart Data Access, and AtScale help organizations create unified views of data from multiple sources without physically moving or replicating it. When choosing a platform, ease of integration is very important so the solution can connect smoothly with databases, cloud services, and analytics tools. Query speed and real-time performance also matter because users expect fast responses when analyzing distributed data. Scalability is another key factor to ensure the platform can handle growing data volumes and more users over time, while strong security and governance features help protect sensitive data. In practice, organizations usually look for a balance of performance, flexibility, and simple integration when selecting a data virtualization platform.