Where Datameer is positioned
I’ve chatted with Datameer a couple of times recently, mainly with CEO Stefan Groschupf, most recently after XLDB last Tuesday. Nothing I learned greatly contradicts what I wrote about Datameer 1 1/2 years ago. In a nutshell, Datameer is designed to let you do simple stuff on large amounts of data, where “large amounts of data” typically means data in Hadoop, and “simple stuff” includes basic versions of a spreadsheet, of BI, and of EtL (Extract/Transform/Load, without much in the way of T).
Stefan reports that these capabilities are appealing to a significant fraction of enterprise or other commercial Hadoop users, especially the EtL and the BI. I don’t doubt him.
Comments
4 Responses to “Where Datameer is positioned”
Leave a Reply
Curt,
Will you be doing a writeup on Metamarkets soon? On its face what they’re offering looks intriguing, but it sure looks a lot like what Datameer already does. I can’t really figure out whether Metamarkets and Datameer are doing the exact same thing, or whether they’re diverging somewhere, so I’m hoping you’ll tell us all soon what Metamarkets is really about :).
Marco,
That’s the plan. I even set up a call recently w/ Mike Driscoll to get enough info that I could write about them. But we talked about so much other stuff we didn’t get around to the original subject of the call. 🙂
[…] a short October, 2011 post about Datameer, I wrote: Datameer is designed to let you do simple stuff on large amounts of data, where “large […]
[…] If there’s anything new about such stories, it has to be on the transformation side; BI tools have been helping with data extraction since — well, since the dawn of BI. The data movement tool I used personally in the 1990s was Q+E, an early BI tool that also had some update capabilities.* And this use of BI has never stopped; for example, in 2011, Stephen Groschupf gave me the impression that a significant fraction of Datameer’s usage was for lightweight ETL. […]