The thing about Hadoop, per se, is that it’s not a packaged solution by any means. Rather, it’s a complex collection of modules that enable high-quality programmers to leverage massive parallel processing algorithms to do very specific things. But there’s no fancy user interface, and the manuals are brutal.
Add to that challenge this critical hurdle: you also need business people who have at least a general understanding of what it can do. Those folks must be able to conjure up ideas of how it can be used, then communicate to the developers, who must subsequently produce, test, implement and support applications.
Until now, Gartner’s review has tended to focus on the traditional query and reporting capabilities of the various BI vendors. But as data visualization, predictive and prescriptive analysis have risen in popularity and sophistication, there has been a tendency for organizations to deploy multiple tools, for example a full-fledged business intelligence platform from an established vendor supplemented by analytics tools from a startup.
Gartner defines advanced analytics as: “the analysis of all kinds of data using sophisticated quantitative methods (for example, statistics, descriptive and predictive data mining, simulation and optimization) to produce insights that traditional approaches to business intelligence (BI) — such as query and reporting — are unlikely to discover.”
The Magic Quadrant for Advanced Analytics Platforms seems to show companies frequently look to companies other than the traditional BI vendors for advanced analytics capabilities.