16 Data Visualization Vendors are squared

Since Gartner keeps doing its “Magic Quadrant” (MQ; see MQ at the very bottom of this post) for Business Intelligence Platforms every year, it forces me to do my

“Yellow Square for DV, 2012”

for Data Visualization (DV) Platforms too. I did it last year and I have to do it again because I disagreed with Gartner in 2011 and I disagree with it again in 2012. I have a few different (from Gartner) views, but I will mention 3.

1. There is no such thing as Business Intelligence as a software platform. It is a marketing term, used as an umbrella for multiple technologies and market segments. Gartner released its MQ for BI at the same time it had “BI Summit 2012” in London on which it practically acknowledged that BI is not a correct term and suggested to use the term “Business Analytics” instead, see for example this article: http://timoelliott.com/blog/2012/02/what-i-found-interesting-about-gartner-bi-summit-2012-london.html

2. I personally is using – for many years – the term Data Visualization as a replacement for BI, as much more specific. Because of that, I removed from consideration a few vendors present in Gartner’s MQ for BI and added a few important DV vendors.

3. I used for my assessment 3 groups of criterias, which I already used on this blog before, for example here:


and here:


As a result, I got a very different from Gartner the placement of “Data Visualization Platforms and their vendors”:


For reference purposes please see below the Magic Quadrant for BI, published by Gartner this month. As you can see our lists of Vendors are overlapping by 11 companies, but in my opinion their relative positioning is very different:


6 thoughts on “16 Data Visualization Vendors are squared

  1. Thanks for your answer and your post (and your blog). Now, I am curious about Visokio !!
    You do a great job and I really enjoy reading you

  2. Hi Andrei,

    obviously different evaluation criteria can result in different rankings/results. Gartner’s criteria seem to be more business-centric: ability to execute = f(product/service, overall viability, sales execution/pricing, market responsiveness, execution, track record, customer experience, operations); Completeness of vision = f(maker understanding, marketing/sales strategy,Business model, Vertical/industry/geography strategy, innovation).

    Your criteria are much more specific and technology-centric (like 64bit desktop client or multidimensional cubes). I also like the term Data Visualization better, but it’s clearly only a part of the umbrella term Business Analytics. For example, you can do a lot in predictive analytics and decision support without DV, or at least without having to rely on DV for (human) decision makers.

    Back to your “Yellow Square for DV, 2012”: I noticed the “leaders” in Tableau, QlikView, Spotfire(TIBCO). I did a time series of Gartner’s Magic Quadrant on BI with the data of the last 5 years (2008-2012) all in one interactive chart (done in Tableau Public). It reveals those three with strong improvements in their execution over the last 3 years (i.e. vertical trajectory in the MQ).


    Over the years you may consider a similar DV for your Yellow Square…

    Regards, Thomas.

  3. Hi Dr. Pandre

    I stumbled upon your blog via a linked in post, and am absolutely hooked. Fantastic content and you are an incredibly knowledgeable man!

    Thank You for posting the comparison. It is very helpful


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