Data Virtualization and Data Compatibility are perfect together. Data Compatibility contributes integrated data and direct interoperability, while data virtualization contributes data access and connectivity to many data source types. The combination results in a comprehensive Compatible Data Fabric.
Data virtualization is a common data integration approach used to query multiple incompatible data sources to quickly return 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 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. Without direct data interoperability, data virtualization attempts live data transformations, which is somewhat risky and slow. 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 hidden from view. When a query requests information isolated in separate, incompatible systems, users can receive an incomplete, or even misleading, picture since data integrity is missing. 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 data systems 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 alone has been unable to do.
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 Compatible Data Fabric. This fabric is normally based upon federated physical data sytems that can be virtualized.
Any data systems, which use our patented Data Compatibility Standards, form reliable data access paths among them. These reliable data access paths support the direct and seamless joining of multiple compatible data systems. Now, formerly-incompatible data systems are configured to directly communicate with one another so they can share the data. Queries across multiple compatible data systems will always come back with coherent, intelligible data because the proper data integrity is enforced. 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.