Big Data Age provides opportunities for startups five big companies are the best

In the age of large data, "big data" has become the most frequently used word, large data received more attention, "big data" is basically an all-encompassing term, refers to the ability to collect and analyze a large amount of information, and this information relates to all aspects of human life. Past data analysis may require expensive databases and specialized technology, and in recent years startups that have been linked to big data concepts have sprung up and, if you are willing, are fully qualified to use large data analysis at low cost.

Whether it comes from the general business sector, or the retail, medical, climate and other specialized areas of the big data can be used to profit, the possibility of the investment industry to regain excitement.

The author has collected several startups that have grown rapidly and have gained venture capital:

"Splunk"

Splunk, the US business intelligence software provider, was founded in 2004 and listed on Nasdaq in 2012 as the first big Data company to be listed. Currently in 12 countries with more than 700 employees, the earliest through the analysis of log data to eliminate machine failures, now its software can be used to monitor, analyze real-time machine data and TB-level historical data. Today, all Web sites, communications, and complex IT infrastructures are generating large volumes of data streams every moment, and splunk technologies are especially suited to real-time data analysis, helping users to understand business trends in a timely manner.

"Tableau"

American computer software company Tableau was founded in 2003, headquartered in Seattle, Tableau Software was first developed in the U.S. Department of Defense Project, in order to improve the ability of people to analyze information, the Ministry of Defense summoned the University of the Department of Computer Science professionals, And the famous Professor Pat Hanrahan and his PhD student Chris Stolte, who specializes in exploring and analyzing database and cube visualization techniques, quickly realized that computer graphics can help people improve their ability to understand information. Tableau development of the desktop system, the simplest business intelligence tool software, suitable for enterprises and departments to carry out day-to-day data reporting and data visualization analysis, it will be data operations and beautiful charts perfectly grafted together.

Founded in 2003, the 2010 tableau revenue reached 34.2 million U.S. dollars, 2011 to 62.4 million U.S. dollars, increased to 128 million U.S. dollars in 2012.

"Cloudera"

Cloudera, a former engineer from Facebook, Google and Yahoo, and former Oracle executives created in 2008 in a short span of years, Cloudera has grown from an obscure start-up to a company that companies have to rely on to deal with data challenges.

Using Hadoop as an Open-source technology to help companies build their large data systems, Hadoop is very popular with large and small businesses, which can do a lot of data analysis with inexpensive hardware.

Leverage popular Open-source software Hadoop to help companies such as Nokia, Qualcomm and Groupon store and process large data.

"Hortonworks"

is a Hadoop start-up, July 2011 by Yahoo and Silicon Valley VC Benchmark Capital joint venture. It started with less than 30 employees, mostly from Yahoo, a veteran engineer who specializes in Hadoop, a team that developed a new Open-source project, Hadoop, several years ago. Hortonworks is trying to get more people to use Hadoop and is predicting that the technology will handle half the world's data over the next five years.

As another start-up company that provides large data services based on the Hadoop framework, Hortonworks has grown up in just over two years, causing concern in the industry.

The financing of the company has been very secretive. But Peter Fenton, the general partner of Benchmark Capital, a VC company, is a member of the company's Peter Finton investors and corporate board.

"MapR"

The company is an enterprise management software company in San Jose, California, which focuses on usability and data security optimization and development and sales of derivative software for Apache Hadoop. MAPR is known as the next generation of Hadoop, making Hadoop a faster, more reliable, more manageable, more convenient distributed computing service and storage platform, while improving performance. MAPR earns revenue by providing professional consulting services for Hadoop users.

About half of the customers today are traditional web and cloud-based companies, while the other half are financial, telecoms and manufacturing companies.

Comments：

Large data brings new market opportunities for venture capital, for some astute risk investors, they first see the direction of the future, from which to find business opportunities, the past few years is only a start, can foresee the next decade of large data industry will still be the opportunity for startups, which for some startups, is undoubtedly a big positive news.