Get fresh updates from Hortonworks by email

Once a month, receive latest insights, trends, analytics information and knowledge of Big Data.


Get Started


Ready to Get Started?

Download sandbox

How can we help you?

closeClose button
May 02, 2013
prev slideNext slide

Enterprise Big Data Analytics with Hortonworks and Datameer

Today, 94% of Hadoop users perform analytics on large volumes of data that were not possible before. How do they do it? Cool applications, that’s how.

You have seen various stats that indicate enterprises need better ways of making use of data but they bear repeating: The volume of business data worldwide, across all companies, doubles every 1.2 years, according to a study published by eBay in May, 2012. And market research firm IDC released a forecast showing the big data market may grow from $3.2 billion in 2010 to $16.9 billion in 2015. Clearly, enterprises need better ways of making use of all of this data, which contains innumerable insights for improving business processes and profitability.

datameerHortonworks partner Datameer, has a horizontal application for big data discovery that includes self-service data integration, analytics and visualization on top of Hadoop, including pre-built analytic applications.

While Datameer itself is a horizontal application for big data discovery that includes self-service data integration, analytics and visualization on top of Hadoop, Datameer takes it one step further and even offers pre-built analytic applications. Datameer’s Analytics App Market is the world’s first marketplace for buying and selling analytic applications that allows users to simply plug in their own data and see the final results visualized, without having to do the work of building the analysis.

The applications are downloaded with a single click, and range from broad, horizontal use cases that most any organization could utilize like email analytics or social media brand sentiment analysis to very specific use-case driven applications like Zendesk Forum analytics or JIRA ticket analyses. The best part is the marketplace is constantly growing as data scientists and subject matter experts from around the world create and contribute new applications for virtually any structured or unstructured data source.

Betting on Hadoop

Joe Nicholson, VP of marketing at Datameer, explains that the idea of Big Data analytics has exploded in the past 5 years. Business intelligence is not new, he said. What changed is the rise of so-called unstructured data. “Today, companies want to track things like customer paths taken through a website, email network usage, comments posted on websites or collaborative tools, or find the useful information hidden in millions and millions of tweets,” said Nicholson.

“There’s no way to do it all in any sort of timely fashion, or without breaking the bank, without first getting all of your data in Hadoop. So first and foremost comes the need to be able to get that data in yourself, without relying on IT. Then you want to point-and-click your way through your analysis and get instant feedback so you can analyze the same way you think. When you’ve built your analysis, that’s when you want to run it against your entire dataset. And finally, you want to visualize your results with just a few clicks. Import corporate logos, add text, make the report your own. We do all of that in Datameer, and we couldn’t do it if we hadn’t made this fundamental bet on Hadoop.”

Datameer partnered with Hortonworks back in 2011, and the two companies have been working together to accelerate the development and adoption of big data analytic solutions that leverage or extend the Apache Hadoop platform, and allow users to tap into the massive amounts of unstructured data.

The joint webinar conducted earlier this year, “Big Data Analytics: Is Your Elephant Enterprise Ready?” addressed critical project components such as data security, high availability, user training and use case development.


For more information on Datameer visit or @datameer



  • Leave a Reply

    Your email address will not be published. Required fields are marked *