16 Top Big Data Analytics Platforms
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User Rank: Author
1/30/2014 | 1:03:16 PM
Important Big Data Context
Doug has supplied important context for those people choosing between big data analysis vendors. Please tell us if there are aspects you would like more/less detail on when we do the next roundup. Readers, are you surprised by how much support Hadoop has won from the bigs in the last 24 months?
D. Henschen
D. Henschen,
User Rank: Author
1/30/2014 | 12:53:55 PM
Re: ParStream - real-time database for big data analytics
Thanks for your note. I don't hear much about ParStream, and your list of customers isn't studded with well-know companies. I excluded Exasol for much the same reason -- a number of customers in Germany, but not a presence in North America where we get the vast majority of our readership. Your technology is of interest, however, so feel free to contact me, particularly with customer case example.
User Rank: Apprentice
1/30/2014 | 12:09:03 PM
ParStream - real-time database for big data analytics
Hi Doug,

I very much appreciate your update on the big data analytics vendor market. 

I am curious to find out why you did not include ParStream in your list of big data analytics players. Agreed that the majority of our customers is still in Europe but through our strong presence in Cupertino and Boston we have won numerous customers in the US.

Our focus is on Fast Data - continuous data import at very high bandwidth combined with sub-second response times on billions of data records. 

Through partnerships with leading front-end and ETL tool providers AND Hadoop we offer a super-fast analytics solution that outperforms all product on your list.

I am happy to share with you performance benchmarks and introduce you to our reference customers.

CEO ParStream
D. Henschen
D. Henschen,
User Rank: Author
1/30/2014 | 11:52:39 AM
It's time for this update
It has been little more than two years since we published our 12 Top Big Data Analytics Players collection, but so much has changed and so many new players have emerged that we needed this update. Over the last 26 months, all the big data-management vendors -- IBM, Microsoft, Oracle, SAP, Teradata -- have really embraced Hadoop. And whether they're adding SQL-on-Hadoop options -- a la Actian, InfiniDB/Calpont, and Pivotal -- or exploiting unprecidented levels of RAM -- as with Kognitio and SAP -- database management system suppliers are changing the scope and speed of their analysis capabilities.

The biggest change, though, is that practitioners are considering the data that they have on hand, the data that they're currenlty throwing away, and the data that they could collect with sensors or smart phones. They're considering all-new applications and, in some cases, entirely new business models. Innovaters may not want to delay or get their hands too dirty with all this technology, however, so we're seeing cloud options from 1010data, Amazon Web Services and others gathering steam.

We may have reached the end of the beginning of the big data era. But it's time to move beyond the speculative hype and get down to the business of on creating breakthrough applications that deliver value. Let 2014 be the year we shift from focusing on what could be to what is actually happening in the world of big data analysis.  
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