Big Data has too often meant slow data, as legacy storage architectures have compromised real time analytic results. With the emergence of Apache Spark’s powerful, large-scale data processing – which runs up to 100x faster than Hadoop – data scientists, engineers, and analysts are demanding new storage architectures to drive productivity.
FlashBlade handles Spark’s data requirements with ease. Designed for today’s high concurrency Spark application workloads and driving low latency responses to queries and results, FlashBlade delivers 6x faster Reporting queries vs public cloud. You can even consolidate multiple workloads and your Spark Environment to FlashBlade.
FlashBlade provides consistent, multi-dimensional performance in concurrency – including IOPS, throughput, and latency – and can handle large volumes of data access from 1000s of users.
Use real time queries to respond to market and consumer data by running Spark on FlashBlade NFS. Boost the productivity and agility of your data scientists and data wranglers.
A compact 4U form factor scales out performance and capacity easily just by adding blades. The FlashBlade NFS protocol simplifies data management tasks, like backup and security.
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