StorageSwiss.com | Breaking Down Hadoop, Spark, Cassandra Silos – DriveScale Briefing Note

The storage architecture of most next generation applications, like Hadoop, Spark and Cassandra, leverage local, direct attached storage to avoid excessive storage traffic on the network and keep costs down. While this architecture does accomplish its goals, it also re-creates the problem most common with any direct attached storage architecture; lack of efficiency. But shared storage is not the answer for many of these environments either. That’s because it increases costs and network traffic. Modern data centers need a solution that can strike a balance and deliver a cost effective, efficient solution that meets the performance and data locality demands of these environments. CONTINUE READING…

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DriveScale has pioneered the concept of disaggregating direct-attached storage for servers as a unique way to architect and build data centers for Big Data applications.

DriveScale’s system gives a data center the ability to combine servers with any mix of disk drives on demand and in real time. With DriveScale’s system management software, administrators can deploy Hadoop clusters on the fly in very few steps, manage several racks as one and create clusters that span multiple racks.

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DriveScale has pioneered the concept of disaggregating direct-attached storage for servers as a unique way to architect and build data centers for Big Data applications. DriveScale’s system gives a data center the ability to combine servers with any mix of disk drives on demand and in real time. With DriveScale’s system management software, administrators can deploy Hadoop clusters on the fly in very few steps, manage several racks as one and create clusters that span multiple racks.

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