Fixing Data Virtualization

More than one-third of businesses that need data integration turn to data virtualization, despite significant limitations which prevent organizations from truly leveraging the power of their data!

Data Virtualization

This common data integration approach queries multiple databases to quickly return real-time results. It’s considered an agile and effective way for organizations to stay on top of their ever-changing data needs in today's fast-paced marketplace. However, despite its popularity, data virtualization has its pitfalls.

Data compatibility standards

Data virtualization’s major drawback is that it’s drawing information from incompatible data systems – systems that were not designed to support direct data joins across data systems. Data virtualization attempts live data transformations, which is very risky. Even though the data may appear to be one cohesive unit, it’s still drawing from multiple disparate data sources – the technical details about the live data transformations are simply hidden from view. When a query requests information isolated in separate, incompatible systems, users can receive an incomplete, or even misleading, picture. This is a problem to which even data virtualization vendors readily admit. Even with this major stumbling block, organizations that require real-time data integration from multiple databases have been stuck without a viable alternative -- until now.

Maxxphase Data Compatibility Standards solve this persistent data virtualization problem. By unifying your enterprise-wide data into a compatible data architecture, Maxxphase Data Compatibility Standards can achieve what data virtualization has been unable to do.

Data Virtualization

Maxxphase Data Compatibility Standards, when applied to disparate data systems, makes the data systems directly interoperable. Each directly-interoperable data system becomes an integral component of a fully-integrated and coherent composite database. This composite database can be considered a federated or virtual database.

Any data systems which use our patented standards form reliable data access paths between them. These reliable data access paths support the direct and seamless joining of multiple compatible data systems. Now, formerly-incompatible databases are configured to directly communicate with one another so they can share the data. Queries across multiple compatible databases will always come back with coherent, intelligible data. In any event, working with compatible data systems across the board is vastly easier than working with disparate, incompatible data systems.

Maxxphase Data Compatibility Standards takes the headache out of virtual data integration! If data virtualization is leaving you out in the cold, it might be time to upgrade using Maxxphase Data Compatibility Standards.

Data compatibility standards