Roughly speaking, the two primary ways in which data scales is by adding depth and by adding breadth. […] Horizontal Big Data, on the other hand, is like the Linked Data Cloud. It has all kinds of random information that ranges from highly structured and numeric to highly unstructured. Significantly, it tends to change quite a bit over time with increasing heterogeneity. That’s a completely different kind of scale, and one that is not well solved by using highly structured, vertically scaling technologies.
Using just these two axes (vertical and horizontal) is equivalent to speaking about BigData in terms of volume and variety. But it ignores the 2 other dimensions: velocity and variability.
Original title and link: Two Kinds of Big Data ( ©myNoSQL)