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Mesosphere's new big data solution: Add Spark, hold the Hadoop
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Mention big-data tools like Spark and Kafka to most enterprise users, and the other big-data tool that comes to mind along with them is Hadoop. But does it need to?
Mesosphere, corporate backers of the Apache Mesos cluster-management project, are ginning up a big-data stack that eschews Hadoop, but embraces Spark (and Kafka, and Cassandra, and the Akka event framework) for real-time processing.
[ Download the InfoWorld quick guide: Learn to crunch big data with R. | Sign up for InfoWorld's Big Data Report to stay atop all the latest news and developments in the field. ]
Mesosphere Infinity, as the new product is called, is "a turnkey, full-stack offering optimized for big data and IoT," and its main aim is to provide an easily erected stack for businesses for real-time data work. But it also stands as a recent example of how many of the technologies reflexively associated with the Hadoop stack don't require Hadoop to be useful.
To read this article in full or to leave a comment, please click here
Mesosphere's new big data solution: Add Spark, hold the Hadoop
via
Mention big-data tools like Spark and Kafka to most enterprise users, and the other big-data tool that comes to mind along with them is Hadoop. But does it need to?
Mesosphere, corporate backers of the Apache Mesos cluster-management project, are ginning up a big-data stack that eschews Hadoop, but embraces Spark (and Kafka, and Cassandra, and the Akka event framework) for real-time processing.
[ Download the InfoWorld quick guide: Learn to crunch big data with R. | Sign up for InfoWorld's Big Data Report to stay atop all the latest news and developments in the field. ]
Mesosphere Infinity, as the new product is called, is "a turnkey, full-stack offering optimized for big data and IoT," and its main aim is to provide an easily erected stack for businesses for real-time data work. But it also stands as a recent example of how many of the technologies reflexively associated with the Hadoop stack don't require Hadoop to be useful.
To read this article in full or to leave a comment, please click here