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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.

A drag-and-drop interface eliminates the need to write complex scripts or code of any kind. With its automatic server configuration feature, users can simply point to a data source, configure the data transformation tasks, and tell the platform where to write the results to. Xplenty's platform uses SQL terminology. Thus, for data analysts, the learning curve should be minimal.

Customers include DealPly Technologies, Fiverr, Iron Source, and WalkMe.

Competitive Landscape: The main competition comes from Amazon's EMR. Other HaaS competitors include Altiscale, Mortar Data, Qubole, and recently Microsoft with Hadoop on Azure. Rackspace is about to launch its own HaaS offering based on Hortonworks' distribution.

Key Differentiator: According to Xplenty, competing services still target developers, whereas Xplenty targets the data and Business Intelligence (BI) users who do not know how to write code, but who need to move data to a big data platform.

10. Nuevora

What They Do: Provide Big Data analytics applications.

Headquarters: San Ramon, Calif.

CEO: Phani Nagarjuna, who most recently served as executive vice president of products and business development for OneCommand, which provides a SaaS-based CRM and Loyalty Automation Platform for the auto retail industry.

Founded: 2011

Funding: $3 million in early funding from Fortisure Ventures.

Why They're on This List: Nuevora has set its sights on one of big data's early growth areas: marketing and customer engagement. Nuevora's nBAAP (Big Data Analytics & Apps) Platform features purpose-built analytics apps based on best-practices-driven predictive algorithms. nBAAP is based on three key big data technologies: Hadoop (data processing), R (predictive analytics), and Tableau (visualizations).

On top of all of this, Nuevora's algorithms work on disparate sources of data (transactional, social media, mobile, campaigns) to quickly identify patterns and predictors in order to tie specific goals to individual marketing tactics.

The platform includes pre-built apps for the customer marketing business process — acquisition, retention, up-sell, cross-sell, profitability, and customer lifetime value (LTV). With only "last-mile" configurations required for individual customer situations, Nuevora's apps empower organizations to anticipate their customers' behaviors.

Competitive Landscape: When Nuevora assesses the competitive landscape, it zeroes in on big consulting firms, such as Accenture, and other predictive analytics companies, such as Alpine Data Labs.

However, since pretty much every marketing platform under the sun now includes some sort of analytics engine, I also expect them to compete with the major marketing automation providers, such as ExactTarget (which uses Pentaho for its big data analytics).

Key Differentiator: Nuevora gives end users the ability to continually recalibrate their predictions using a "closed-loop recalibration engine," which helps organizations keep up with only the most pertinent insights based on the latest data.

 

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