Data-spaces technology seeks to solve the problem of the multiple data types and data formats that reside in organizations, which have to scrub the data and make it uniform, often at great cost and effort, in order to store and analyze it in conventional databases.

Data spaces envisions a system that creates an index that provides access to data in its disparate formats and types, solving what Arnold calls the "Tower of Babel" problem.

In the case of Fusion Tables, the technology should allow Google to add to the conventional two-dimensional database tables a third coordinate with elements like product reviews, blog posts, Twitter messages and the like, as well as a fourth dimension of real-time updates, he said.

"So now we have an n-cube, a four-dimensional space, and in that space we can now do new kinds of queries which create new kinds of products and new market opportunities," said Arnold, whose research about this topic includes a study done for IDC last August.

"If you're IBM, Microsoft and Oracle, your worst nightmare is now visible. Google is going to automatically construct data spaces and implement new types of queries," he said. "Those guys are going to be blindsided."