Comments on: A few stats, rumors and stories on Hadoop’s rapid growth

By: mlang1

mlang1 — Mon, 12 Nov 2012 21:22:10 +0000

why isn’t Revolution Analytics included in the funding total?

By: Kenneth Chestnut

Kenneth Chestnut — Mon, 12 Nov 2012 00:22:19 +0000

In a market that will become commoditized over time, Cloudera is smart to try to differentiate via Impala and other initiatives. At some point, we will see significant consolidation as the market matures and is unable to support the growing number of companies in this space…

By: Derrick Harris

Derrick Harris — Sun, 11 Nov 2012 16:04:21 +0000

Thanks for pointing out. It was a Tableau Public file, but replaced with a non-interactive image.

By: mhausenblas

mhausenblas — Sun, 11 Nov 2012 11:30:51 +0000

Great story, thanks for this. Note that I’m experiencing problems with the figure ‘Venture capital investment in Hadoop companies’ (it doesn’t show up at all) but I was able to retrieve the original from http://public.tableausoftware.com/static/images/Ha/Hadoopfunding2/Sheet1/1_rss.png – might want to look into this? KUTGW!

By: Ken Granville

Ken Granville — Sun, 11 Nov 2012 05:56:09 +0000

I too see Hadoop as potentially an elephant, but balanced on a ball (both brandishing the letters BD for big data). See it on our web page for Essence DB at http://www.txformative.com/#!essence-db/c7kw. We have an ambitious project to simplify big data Analytics and database tech along with revolutionary approaches to developing software. If we succeed, we will make a quantum leap forward in the effort to tame Big Data.

By: Chris Taylor

Chris Taylor — Sat, 10 Nov 2012 10:33:24 +0000

I’m impressed with Hadoop’s rise and the success of small companies creating solutions with open source software. More than anything else, Hadoop brought Big Data to the marketplace instead of leaving it locked up in enormous enterprises where insight could be monopolized.

The challenge, however, is the insight gained by MapReduce through Hadoop is only as good as an organization’s ability to execute on what they discover. Analytics are moving more and more into process flows and will move away from batch jobs executed as research projects.

This means that the infrastructure that sits under big data is what powers success, not this application. I’ve said that without great underpinnings, Hadoop is like an elephant riding a bicycle (pun intended). I wrote it up here in detail along with what I see as the key components to a BIg Data solution (beyond MapReduce):

http://successfulworkplace.com/2012/10/28/big-data-must-not-be-an-elephant-riding-a-bicycle/

I call it my Big Data Manifesto and I welcome comment.

The Big Data ecosystem is right now primarily focused around the companies you mention like Cloudera. I expect to see that grow considerably as we build out the race car for the elephant.

By: Derrick Harris

Derrick Harris — Sat, 10 Nov 2012 05:50:25 +0000

I didn’t arrive at that figure, but it seems plausible. Cloudera Enterprise = 4K per node per year at face value. 100 customers averaging 200 nodes would be $80M. Then services, Cloudera U, etc.

By: Chris

Chris — Sat, 10 Nov 2012 03:24:57 +0000

$100M in revenue for Cloudera? How can you arrive at that figure? I don’t know of many companies paying for licensees and even then it is less than $5k.