Bare-Metal Performance for Big Data Workloads on Docker Containers

White Papers > Analytics > Bare-Metal Performance for Big Data Workloads on Docker Containers

In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker* containers with the BlueData® EPIC™ software platform. This landmark benchmark study used unmodified Apache Hadoop* workloads. The workloads for both test environments ran on apples-to-apples configurations on Intel® Xeon® processor-based architecture. The goal was to find out if you could run Big Data workloads in a container-based environment without sacrificing the performance that is so critical to Big Data frameworks.

The study found:

  • The proper software platform solves challenges that have traditionally slowed and/or stalled on-premises Big Data deployments. The benefits include agility, flexibility, and cost efficiency. It also helps eliminate the traditional barriers of complexity, and minimizes deployment time for Big Data adoption in the enterprise.
  • BlueData and Intel enable enterprises to take advantage of container technology to simplify and accelerate their Big Data implementations.
  • Enterprises can now easily and effectively provide Big-Data-as-a-Service in their own data centers
  • Data science teams can benefit from on-demand access to their Big Data environments, while leveraging enterprise-grade data governance and security in a multi-tenant architecture.

Download this paper that describes the software and hardware configurations for the benchmark tests, as well as details of the performance benchmark and benefits of this powerful combination.


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