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Second, almost all of them can act as a unified front end to multiple databases and data types. This is primarily due to the rising popularity of Big Data, which is typically a combination of relational data (generally SQL-based) and unstructured data found in disparate sources both inside and outside the company’s walls. By providing support for various kinds of data, these tools allow folks without database expertise—but with direct, front-line job experience—to ask questions directly against the organization’s data.

This can provide immediate payback against fast-growing Big Data stores. It also enables new insights and ways to leverage data, which might otherwise be lost when those questions percolate through data scientist and IT professional filters.

A single query can span multiple databases and data types in record speeds, and the tool will take care of building the visual representation, too. In short, a team of data scientists is not required. That’s not only faster but it’s orders of magnitude easier.