Paxata Announces Apache Spark-Powered Data Preparation Runtime Fabric

According to a new press release, “Paxata, the pioneer in self-service data preparation for analytics, today announced the general availability of its Fall ’18 release, the next major update to the company’s award-winning Adaptive Information Platform. The latest release includes a new Adaptive Workload Management capability, which delivers an elastic resource allocation service on a number of orchestration frameworks, including Microsoft Azure HDInsight, Kubernetes, and Apache Hadoop YARN. The new offering also enables dynamic scaling of large data prep workloads across ephemeral clusters to lower cost and improve performance.”

The release goes on, “Building upon Paxata’s Spark-based data prep engine, which provides the industry’s fastest interactive experience, Paxata now offers the industry’s only data prep runtime fabric that can dynamically allocate, execute, and free up processing resources to dramatically reduce infrastructure and compute costs when running automated batch jobs. Paxata is the first data prep engine on Kubernetes. According to Gartner, ‘The market has chosen Kubernetes as the de facto container orchestration technology for managing production workloads. Kubernetes is not an application platform in and of itself as it relies on external components for enterprise-grade, production deployments’.”

Read more at Business Wire.

Photo credit: Paxata

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