SwiftStack Announces Data Analytics Solution With 10x Performance and Massive Scale

SwiftStack, the leader in multi-cloud data storage and management, announced a new solution for big data analytics and machine learning for hybrid cloud and multi-cloud environments.

“Our new solution brings together the best of both worlds – SwiftStack providing the ideal data storage and management platform and Alluxio providing the compute data orchestration and API accessibility.”

The solution is built for data-driven workloads using popular frameworks and applications like Hadoop, Spark, Presto, TensorFlow, and Hive, and delivers ten times the performance with a practical, cost-effective workflow spanning on-premise and public cloud resources. This enables users to create a high-performance big data analytics or AI/ML data pipeline in a “memory-first” architecture where storage and compute are decoupled and can scale on-demand, to billions of files and hundreds of petabytes, as data load and/or performance needs grow.

The SwiftStack solution is powered by SwiftStack’s object-based cloud storage and 1space multi-cloud data management as well as Alluxio, a data orchestration layer that sits between compute frameworks and storage. This eliminates common challenges with analytics applications today, including a lack of enterprise-ready multi-cloud workflows with appropriate data management tools, insufficient throughput, or insufficient API compatibility to support descriptive, interactive and predictive analytical workloads.

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“We’re seeing an ever-increasing demand to extract value from data with AI and analytics workloads, and bringing the data closer to compute anywhere, with high performance and low cost is consistently becoming a challenge for enterprises,” said Dipti Borkar, Alluxio Vice President of Product and Marketing. “SwiftStack’s data analytics solution solves this problem by providing a cost effective yet high performance and rich alternative to power modern data-intensive workloads.”

“Enterprises are ready to move from HDFS to on-premise S3, enabled by ingest and training performance, meta-data scalability, durability, and economics, but often data locality and API support used to be obstacles,” said Shailesh Manjrekar, Head of AI/ML Solutions Marketing and Corporate Development at SwiftStack. “Our new solution brings together the best of both worlds – SwiftStack providing the ideal data storage and management platform and Alluxio providing the compute data orchestration and API accessibility.”

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The solution is easy to deploy and scale by adding standard on-premises server hardware and account capacity in Amazon Web Services or Google Cloud Platform. Applications and users have universal access (file and object) to a single data namespace, and data is placed across the system by user-defined policies. Any amount of metadata can be added and indexed in the system, allowing for easier searching.

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