SwiftStack has launched a new product for big data analytics, machine learning hybrid cloud and multi-cloud environments. The platform was designed for data-driven workloads that use frameworks and applications such as Hadoop, Spark, Presto, TensorFlow and Hive. According to SwiftStack, it enables users to create a big data analytics or artificial intelligence-machine learning data pipeline in a memory-first architecture where storage and compute are decoupled and can scale on-demand as data load or performance needs grow.
This new product is powered by SwiftStack’s object-based cloud storage and 1space multi-cloud data management. It also uses Alluxio, a data orchestration layer that sits between computer frameworks and storage. SwiftStack claims this eliminates common challenges such as 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 workload.
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