13 Big Data Vendors To Watch In 2013

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SelectHub4U,
User Rank: Apprentice
7/8/2014 | 2:07:33 PM

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MostafaE649,
User Rank: Apprentice
3/21/2014 | 4:49:25 PM

A little bit of historical view

Good Article Douge, although it would be helpful to lay the information in one page as a summary, as I got confused scanning through the 13 pages, to get the differences, the following blog, tries to do so : http://mostafaelganainy.wordpress.com/2014/03/20/bigdata-evolution-from-mapreduce-to-infinity/

But the information isn't rich as in your article, so, I'll write another one, to get better understanding of the differences between the 13 tools

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rstevens_total_telecom,
User Rank: Apprentice
1/24/2014 | 1:19:45 PM

re: 13 Big Data Vendors To Watch In 2013

Does it seem much of this is expanding beyod the large scale enterprise? There are so many that claim to play in the Big Data space, My inevitable concern surrounds M&A activity in the space as well as being able to dumb the products down enough to sell into the mid market and smaller space.

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AmyS021,
User Rank: Apprentice
12/19/2013 | 9:38:58 AM

Tried and True - Big Data

Let's be sure to consider vendors not on the list who have been building and deploying complex big data systems around the world for the intel community before big data was even called big data! For example, Leidos (formerly SAIC) coupled more than 10 years of intel community big data experience with the latest in cloud and big data expertise with the release of DigitalEdge.

DigitalEdge is focused on the ingest of very large disparate data sets - streaming or batch - and preparing the data for analysis with whatever back-end analytics or visualization tools currently exist within your infrastructure. Bad data in means bad data being analyzed. DigitalEdge focuses on ensuring that the data that is ingested is joined (at ingest, not at query time), enriched and correlated to assert full context and completeness of the data prior to analysis.

With all the attention placed on analytics and visualization of big data, let's be sure to focus attention on the complexities of ingest, data preparation and management. Afterall, your analysis is only as good as the data going in!

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ASengupta,
User Rank: Apprentice
12/17/2012 | 7:50:04 AM

re: 13 Big Data Vendors To Watch In 2013

The problem is that manual analysis can't keep up with Big Data. See this recent GigaOm article on this: http://gigaom.com/data/a-start.... In traditional Business Intelligence / Analytics, manual exploration is the weak link that slows speed-to-insight and risks overlooking key insights. In a traditional analysis process, even with the latest solutions, a human has to be involved in teasing out and testing relevant insights. As long as the analyst is the driver of the analysis, even when the query is instantaneous, the speed of getting to insights is limited by human speed while the quality of insights is limited by human bias and error. In an hour, a human can only explore just dozens of patterns out of millions of possibilities. In minutes, Lucid explores all of those millions of possibilities and presents the most important insights, without the risk of human bias or error. The human can then look through the short list of insights presented and further refine the most relevant insights.

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TusharN,
User Rank: Apprentice
12/13/2012 | 7:09:19 AM

re: 13 Big Data Vendors To Watch In 2013

A good list 13 Big Data pioneers, innovators and implementers of 2012 and surely they will bring much more in 2013.

Also, there is no doubt that in 2013 there is much more to see about Big data Analytics. Compared to 2011, in 2012 we saw some giants investing in Big Data research and development and I believe 2013 will bring more and more number of small-mid-larger organizations implementing Big Data for better results.

There are some companies who many not be in the list but are actively working on Big Data implementations for leaders in industry. Lets wait for 2013 to see what happens next....

Tushar Nawale
www.saama.com

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EricLundquist,
User Rank: Apprentice
12/12/2012 | 9:21:08 PM

re: 13 Big Data Vendors To Watch In 2013

The relational gang won't like it but they are tied to their current financial model. Even EF Codd would agree that big data and big data analytics requires a new model

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brunoaz,
User Rank: Apprentice
12/12/2012 | 5:38:02 PM

re: 13 Big Data Vendors To Watch In 2013

The discussion around Big Data has certainly been a hot one this year and a lot of the focus has been on the data infrastructure. So much, that many CIOs think that Big Data is synonymous with Hadoop - which is not true.

The next chapter in Big Data is about "what you can do with Big Data" - it's about the Analytics. In my humble opinion, Analytics is the "killer app" for Big Data and I'd love to see more about the revolution happening in that sphere.

Analytically Yours,
Bruno Aziza
VP Marketing, SiSense

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brunoaz,
User Rank: Apprentice
12/11/2012 | 7:01:40 PM

re: 13 Big Data Vendors To Watch In 2013

Big Data is indeed hot...and it's time for the industry to switch to the conversation about 'what to do with all this Data". In my humble opinion, the "killer app" for Big Data is Analytics!

SiSense is a top tier company in this space and hundreds of companies have chosen our platform - including international leaders like Target to innovative startups like Wix. You can find out more about us @ www.SiSense.com

Analytically Yours,
Bruno Aziza
www.SiSense.com

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DBROWN101,
User Rank: Apprentice
12/11/2012 | 6:31:57 PM

re: 13 Big Data Vendors To Watch In 2013

Excellent point about why the old-guard vendors from the relational database world were excluded from your Top 13 Big Data Vendors to watch in the coming year. The new capabilities some RDBMSs have added falls short in comparison to how NoSQL vendors handle the unstructured aspect of Big Data. Missing from the list is MarkLogic, which for more than a decade has delivered a powerful and trusted enterprise-grade NoSQL database that enables organizations to turn all data into valuable and actionable information. After all, Big Data is only valuable if you can find the information that is critical to your organizationG��s success.

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