The Complete Buyer’s Guide For Intelligent Data Virtualization
Future proof your technology choices and avoid vendor lock-in
This buyer’s guide lays out key considerations for organizations looking to apply data virtualization to their analytics use cases. Along with key features and capabilities, you’ll learn about the difference between data virtualization and query federation, drill down on caching techniques and get a detailed feature ranking worksheet for evaluating vendors in the space.
Topics covered include:
- How to get started on your search, including a features and capabilities ranking/weighting worksheet
- Key considerations during your search including data sources, OLAP, query performance, client-side requirements, and security & governance
- The difference between Data Virtualization AND “Intelligent” Data Virtualization – what it is, how it works, and how it can be used
- Data Virtualization readiness – how to assess when Data Virtualization is the right move for your organization
We also point you to additional resources and further reading to help you as you continue your research.