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10 hot Hadoop startups to watch

Jeff Vance | April 17, 2014
As data volumes grow, figuring out how to unlock value becomes vastly important. Hadoop enables the processing of large data sets in a distributed environment and has become almost synonymous with big data. Here are 10 startups with solutions for unlocking big data value.

Customers include Comcast, Disney, Edmunds.com and the Washington Post.

Competitive Landscape: Platfora competes with the likes of Datameer, Tableau, IBM, SAP, SAS, Alpine Data, and Rapid-I.

Key Differentiator: Platfora claims to have the first scale-out in-memory Big Data Analytics platform for Hadoop. Platfora's focus on simplifying Hadoop and Big Data analysis is becoming a more common goal of late, but they are an early mover in this respect.

2. Alpine Data Labs

What They Do: Provide a Hadoop-based data analysis platform.

Headquarters: San Francisco, Calif.

CEO: Joe Otto, formerly senior vice president of sales and service at Greenplum.

Founded: 2010

Funding: $23.5 million in total funding, including $16 in Series B Funding, from Sierra Ventures, Mission Ventures, UMC Capital and Robert Bosch Venture Capital.

Why They're on This List: Most executives and managers don't have the time or skills to code in order to glean data insights, nor do they have the time to learn about complex new infrastructures like Hadoop. Rather, they want to see the big picture. The trouble is that complex advanced analytics and machine learning typically require scripting and coding expertise, which can limit access to data scientists. Alpine Data mitigates this issue by making predictive analytics accessible via SaaS.

Alpine Data provides a visual drag-and-drop approach that allows data analysts (or any designated user) throughout an organization to work with large data sets, develop and refine models, and collaborate at scale without having to code. Data is analyzed in the live environment, without migrating or sampling, via a Web app that can be locally hosted.

Alpine Data leverages the parallel processing power of Hadoop and MPP databases and implements data mining algorithms in MapReduce and SQL. Users interact with their data directly where it already sits. Then, they can design analytics workflows without worrying about data movement. All this is done in a Web browser, and Alpine Data then translates these visual workflows into a sequence of in-database or MapReduce tasks.

Customers include Sony, Havas Media, Scala, Visa, Xactly, NBC, Avast, BlackBerry, and Morgan Stanley.

Competitive Landscape: Alpine will compete both with large incumbents (SAS, IBM, SPSS, and SAP) and such startups as Nuevora, Platfora, Skytree, Revolution Analytics, and Rapid-I.

Key Differentiator: Alpine Data Labs argues that most competing solutions are either desktop-based or a point solutions without any collaborative capability. In contrast, Alpine Data offers a "SharePoint-like" feel to it. On top of collaboration and search, it also provides modeling and machine learning under the same roof. Alpine is also part of the No-Data-Movement camp. Regardless if a company's data is in Hadoop or MPP Database, Alpine sends out instructions, via its In-Cluster Analytics, without ever moving data.

 

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