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10 hot Big Data startups to watch

Jeff Vance | June 13, 2013
Big Data startups are building viable products that target real-world pain points, and most of these Big Data new ventures are well-funded with solid management teams. Here are 10 Big Data startups to watch.

Market Potential and Competitive Landscape:ScaleArc estimates that this market space is worth more than $2 billion (they're far more conservative than most analysts).

Competitors include ScaleBase and ParElastic.

Existing customers include Demand Media, Disney UTV, KIXEYE, Sazze (dealspl.us), Flipkart, Weather Decision Technologies and others.

7. SiSense

What they do: Provide Big Data analytics platforms.

Headquarters: Redwood City, Calif., with an R&D Center in Tel Aviv, Israel

CEO: Amit Bendov. He was formerly CMO of Panaya and SVP of Worldwide Marketing at ClickSoftware.

Founded: 2010 (they were technically founded in 2004, but were really just a side project for the five founders until 2010, and their official launch was 2012)

Funding: In April, SiSense closed a $10 million Series B round of funding led by Battery Ventures with participation from Opus Capital and Genesis Partners. A $4 million Series A round was secured in 2010.

Why they're on this list: SiSense finished second in Startup50.com voting, has solid VC backing and a good-sized list of customers.

According to SiSense, traditional big data analytics solutions are like battleships: They're expensive, complicated to operate, and are actually overkill for most businesses, which just don't need that much processing. The typical business does not need to analyze petabytes of data. Rather, they'd be happy gaining insights on terabytes of data, but that's either too expensive or forces them to rely on in-memory solutions, which cannot later scale to handle massive amounts of data.

SiSense Prism is built to offer big data analytics technology to businesses of all sizes. With no coding or scripting required, business analysts can analyze data themselves, without having to draw IT or data scientists into the process. SiSense claims that Prism allows non-technical users to analyze 100 times more data than current in-memory analytics solutions, and it does so 10 times faster. There's no need to set up complex data warehouse systems or OLAP cubes.

Prism is powered by SiSense's Elasticube technology, which features a columnar data store, strong data compression, parallel processing, and advanced query optimization to offer analytical processing power previously available only with high-end solutions.

Market Potential and Competitive Landscape:Wikibon believes the Big Data market will exceed $47 billion by 2017. SiSense competitors include Tableau, QlikView and SAP HANA.

Customers include NASA, ESPN, Target, eBay, fiverr, Online Commerce Group, Plastic Jungle and Magellan Vacations.

8. Skytree

What they do: Develop machine-learning-based platforms for Big Data analytics.

Headquarters: San Jose, Calif.

CEO: Martin Hack, who previously served as a director of marketing for GreenBorder Technologies (acquired by Google) and as a product line manager for SonicWALL.

Founded: 2012

Funding: Skytree just secured (April 2013) $18 million in Series A funding. U.S. Venture Partners led the round and was joined by a new investor syndicate that includes UPS and Scott McNealy, co-founder and former CEO of Sun and Chairman of Wayin. Additional investors include Javelin Venture Partners and Osage University Partners. To date, Skytree has raised a total of $19.6 million.

 

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