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

/StorageSwiss.com – Breaking Down Hadoop, Spark, Cassandra Silos – DriveScale Briefing Note
StorageSwiss.com – Breaking Down Hadoop, Spark, Cassandra Silos – DriveScale Briefing Note2018-08-17T00:15:03+00:00

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

By: George Crump Analyst, StorageSwiss.com

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.

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