Analyst Reports

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Analyst Reports2018-12-03T03:46:50+00:00

Storage Switzerland – Simpler is Better, Solving Rack Scale Storage Problems

By: George Crump Analyst, StorageSwiss.com

The storage infrastructure for multi-rack scale applications like Hadoop Spark, Cassandra, and CouchBase, are typically built using directly attached flash-based storage instead of a shared flash array. The motivation for using direct-attached storage (DAS) is simple. Media inside a server is lower cost than media inside a shared array. Direct-attached media also has lower latency and higher bandwidth than a shared array, since the array’s data undergoes storage array processing (RAID, DEDUP, Compression, Snapshots, etc.) and has to traverse a network. DAS though is not without its challenges; it isn’t used as efficiently and is more vulnerable to failure.

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Storage Switzerland – Breaking down Hadoop, Spark, Cassandra silos

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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451 Research – DriveScale Updates Enterprise Clustering and Scale-out for Modern Workloads

Stateless servers linked to JBOD storage provide a more efficient cluster infrastructure that is better suited for scale-out application workloads such as Hadoop. DriveScale is partnering with hardware vendors and service providers to provide ‘composable infrastructure’ from standard hardware elements…

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IDC – DriveScale: Composable/Disaggregated Storage for Big Data

According to IDC, traditional scale-out infrastructures are being strained by the explosive growth in Big Data analytics and applications. In this report, discover a revolutionary way for IT operations and data center professionals to provide the flexibility and scalability that Hadoop and Big Data frameworks require. You’ll learn about a new approach that enables data center IT and infrastructure managers to disaggregate servers within clusters into pools of independent compute and storage resources, providing unprecedented scalability without the cost of over-provisioning their data centers.…

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