As data continues to grow faster than Moore’s law, companies are being forced to process data today in larger and larger clusters. Hence, it makes a lot of sense to use a different approach. Enter Hadoop, an offering that was first produced at Google (News - Alert).
Better yet, MapR has taken Hadoop and transitioned it into an open-source, enterprise-grade distribution that is deployed at thousands of companies and analyzes a massive amount of data. MapR customers analyze massive amounts of data including hundreds of billions of events daily and 90 percent of the world’s Internet population is profiled monthly.
With major partners including Google, Cisco (News - Alert) and HP, just recently the company joined hands with Amazon in a strategic move that would allow the Web services provider to seamlessly integrate MapR into its portfolio of services.
“Our customer’s feedback on our solution is that it is easy, dependable and fast,” said Jack Norris, vice president of Marketing at MapR. “It is also extremely easy to use, supports Hadoop APIs, acts and looks like storage and can mount with any tool.”
This offering is simple to leverage in order to store data but also provides an ultra high level of flexibility. In essence, it’s a platform with a huge ecosystem that allows users to use different tools and techniques to analyze data. While traditional approaches force users to understand the questions they are going to ask before plugging into the system, with Hadoop in place you can just throw data in there and do the analysis after the fact.
The firm participates in a lot of conferences and will be present at the upcoming Hadoop World, slated to take place in October. Added Norris: “Attending these shows allows us to interact with customers and answer any questions they may have, as well as hear about our user experiences.”
“Hadoop simplifies processes,” he finished, “in addition to analyzing more data more effectively and more cheaply than ever before.”
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