Product Data, Lady Gaga and Mr. Google

During introductory meetings with people interested in joining our Beta program, we often get asked when presenting what Inforbix does the inevitable “how does Inforbix compare to what Google or other search technologies do?”  I’m still not sure what to make of that question.  On the one hand, being compared to the simplicity and elegance of Google can’t be all that bad – in fact, in a past life, customers would often ask me why vendors can’t make all product data management as simple as Google.  On the other hand, Google and most search technologies are not specifically designed to understand the relationships, connections, and dependencies between say CAD drawings, assemblies, parts, and Bill-of-materials.

Importance to be first by Mr. Google

I recently came across the following study - Top Google Result Gets 36.4% of Clicks. I found the results presented in the article interesting.  Have a look at the charts, you’ll get the drift quickly: if you are out of first five (5) page results, you essentially don’t exist.  Here’s how the article phrases it in somewhat more brutal terms: “ranking beyond page 2, while good for tracking trends, has almost no business value.”  So if you’re “Lady Gaga”, you are certain to appear and ranked in the top pages – all of them.  If you’re “Part 164-23F28-003”, then chances are, you don’t exist!

Product Data difference

When it comes to a product data, the importance ranking diminished almost to the point of being irrelevant in some cases.  For example, if you happen to be searching for “Part 164-23f28-003” it may not come up on the first pages of a search.  But it may be found more directly via a connection to an existing assembly that references it. Data semantics in this case is more important than data ranking as arbitrarily determined by popularity or frequency of previous searches.


Inforbix is using a different approach than is implemented by Google or other search technologies to tackle Product Data accessibility.  First, it relies on more granular domain specific definitions of product data relationships (or semantics – a set of rules and data elements that determine how data is related and link to each other).  Second, you can search, navigate and filter data in ways not possible with Google or other search tools that don’t understand the domain specific semantic connections of product data.

Inforbix may offer the simplicity and elegance of use Google is known for (and we like that comparison)… but’s that’s where the comparison ends.  Google Goes Gaga. You can see more navigating to the following link. Enjoy! I’ll stick to searching for product data!


Best, Oleg