We’ve said it before, and we’ll say it again: The success of open source Big Data technologies depends on channel partners willing to integrate them into value-added, user-friendly tools. In the latest example of that trend, MapR has announced a new product, M7, that combines Hadoop and NoSQL in a robust and simple platform.
Two major trends in enterprise computing this year show increasing overlap: big data processing and open source cloud adoption.
To Hortonworks, the software company behind open source Apache Hadoop, the connection makes sense.
Quantcast, an internet audience measurement and ad targeting service, processes over 20 petabytes of data per day using Apache Hadoop and its own custom file system called Quantcast File System (QFS). Today, it’s making that technology available to as open source under an Apache license.
Hadoop, the open source distributed computing platform, has some pretty impressive potential. But practically speaking, it’s only as powerful as it is usable, which explains the recent introduction of a variety of products designed to simplify programming for Hadoop and related technologies. The newest, from JNBridge, appeared earlier in October.
Mention big data and the first thing that might come to mind is Hadoop. The open source software framework has recently enjoyed a great deal of popularity among vendors and enterprise users. However, if it is to really be useful to the enterprise, Hadoop may need to be taken out of open source, argues Brian Christian, chief technology officer of Zettaset.
These days, storing large amounts of data is easy. Where things get complicated is ensuring the integrity and reliability of that data, an increasing challenge as Big Data clusters grow bigger and bigger. This problem has created new opportunities in the Big Data channel, on which companies such as Talend, which has introduced new Hadoop data profiling technology, are working to capitalize.
As we've noted before, the open source Hadoop software framework has becom a phenomenon as a way of breaking complicated problems apart, spreading them across many computers, and allowing organiations to glean insight from extremely large data sets.
Where is Dell heading in the big data, business intelligence and analytics software markets? The answer involves Apache Hadoop and Pentaho — an open source software company that seems to be gaining more business momentum. Here’s the update.
First, a little background on each of the players:
Dell has an Emerging Solutions Ecosystem that drives new innovations out to customers.
Virtualization giant VMware has unveiled Spring Hadoop, which integrates its Spring Framework with the Apache Hadoop platform. Spring provides a comprehensive, lightweight framework that will make it easier for devs to build solutions around the Hadoop platform, according to the company. Spring Hadoop is available under the open source Apache 2.0 license and can be downloaded free.
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