Shifts in Data Quality Tool Vendor Landscape

The Information Difference is an analyst firm that every year publishes a free online paper ranking the data quality tool vendors. The 2013 data quality tool landscape is out now.

An interesting trend is the shifts in who is in the main picture. Here are the 2012 and 2013 participants:

The Information Difference 12 13

The number of x’s is a rough measure of market strength.

While X88 is a new vendor in the landscape there are four vendors that have dropped from the main picture to the list of other vendors.

I have earlier compared the Gartner Data Quality Tool Magic Quadrant and The Information Difference Landscape in the post The Data Quality Tool Vendor Difference and put the spot light on Experian QAS as a vendor appearing differently by not being in the Gartner Quadrant as reported here. This year Experian QAS also have dropped from The Information Difference Landscape main picture. Not the way to go I guess considering the many efforts of Experian QAS to be a leading data quality tool vendor.

Other vendors have dropped from their position in the picture. DQ Global is one. Oracle as well. And then Talend. Both Oracle and Talend are doing much more than data quality and probably some focus has shifted to other things. Talend for example has emphasized a lot on big data recently.

It’s going to be exciting to see what happens on another source of truth, being the Gartner Data Quality Tool Magic Quadrant, this year.

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3 thoughts on “Shifts in Data Quality Tool Vendor Landscape

  1. Steve Sarsfield 13th May 2013 / 16:25

    By no means has Talend left the data quality market, Henrik. The current open source product is called Talend Open Studio for Data Quality, which is primarily a data profiling tool. The commercial product, which adds standardization, parsing, matching and monitoring is called Talend Platform for Data Management. This data quality functionality is also included with our platform products for MDM, Big Data, Data Services and ESB. We believe that data quality should be everywhere. We’re seeing that data quality is less and less a project in itself and more likely part of some bigger data management initiative. For example, you always need to maintain data quality when you’re setting up MDM, so we include it there.
    Data quality makes up a significant portion of our business and this portion is growing year over year. I work with the development team, so I can assure you that innovation is happening. We introduced the first open source data profiling tool that profiles Hive, for example. If you have big data, this is a very cool feature. We’ve expanded our address validation to work with multiple vendors, including Google API, Loqate and MelissaData, and we’re continuing to innovate in usability.
    As for this particular survey, it’s just a decision that we had to make in terms of timing but we look forward to continuing our relationship with Information Difference in the future.

  2. Henrik Liliendahl Sørensen 13th May 2013 / 17:49

    Thanks a lot for commenting Steve. I agree that data quality is a part of a bigger picture and that making a data quality tool ranking piece will leave out a lot of data quality functionality available including capabilities that is part of a bigger suite or special data quality features that may be used as integral parts of compiled solutions.

  3. Bihar 14th January 2014 / 08:40

    World first open source data quality tools is http://sourceforge.net/projects/dataquality/ . It has more than 15000 downloads worldwide. It also has big data connector where Hive tables can be profiled , fixed and uploaded as new table.

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