A brief history of the Gartner Magic Quadrant

The wider adoption of the MQ by Gartner services rapidly shifted its time-orientation. MQ’s became ways to show markets as they were rather than showing future direction. Staff working at Gartner at the time tell me that the MQ allowed new analysts to be brought on board more quickly, and to produce compelling research outputs even before they fully mastered their market knowledge. Over the following decades, the MQ has gone through many methodological shifts, most aggressively in 2005. Now the MQ is much more like Blank’s procedural reviews, with extensive data-gathering placing substantial workflow burdens on vendors and producing analysts who could move more easily from segment to segment.

Source: Is this how the Quadrant lost its Magic?

2014 Gartner Magic Quadrant for Data Warehouse and Database Management Systems

As the actual report says (leag-gen yourself here to get a copy): “In 2014, this Magic Quadrant introduces non-relational data management systems for the first time.” Indeed!

Pretty delightful array of products there: the old and the new. For example, mixes public and private cloud (notice AWS is up there), Hadoop and traditional DW.