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HPCC Systems
Open Source Platform for High-Speed Data Engineering and Analytics

HPCC Systems
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Home: https://hpccsystems.com

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What is HPCC Systems?

HPCC Systems is a comprehensive data engineering platform specifically developed to address big data challenges. It delivers ultra-high performance for building and managing data lakes, processing large-scale datasets, and running advanced analytics and machine learning workflows. Powered by a standards-based core and high productivity programming language (ECL), the platform offers efficient data processing, secure architecture, and cloud-native deployment options.

Open source and trusted for over a decade, HPCC Systems supports containerized and bare-metal deployments, easy integration with third-party tools, and a rich set of features for analytics and machine learning. Extensive documentation, free training resources, and an active community make it suitable for organizations seeking a scalable, reliable, and cost-effective big data solution.

Features

  • Kubernetes Architecture: Supports containerized, scalable deployments using Kubernetes.
  • Ultra Performance: Enables high-speed and efficient data processing for large datasets.
  • Productive Programming Language: Includes ECL, designed for concise and powerful data programming.
  • Analytics and Machine Learning: Built-in libraries and support for analytics and machine learning workflows.
  • Third Party Integrations: Seamlessly integrates with multiple languages and external data sources.
  • Open Source: Completely open source with a large and active developer community.
  • Reliable & Secure: Offers a proven, stable, and secure platform trusted in production environments.
  • MultiLanguage Support: Works with various programming languages and tools.
  • Extensive Documentation: Comprehensive guides, wikis, and video resources for learning and troubleshooting.

Use Cases

  • Building and managing enterprise-scale data lakes
  • Processing and analyzing big data workloads in real time
  • Developing and deploying machine learning models
  • Integrating heterogeneous data sources into a unified platform
  • Implementing secure, scalable data processing in cloud environments
  • Enhancing productivity of data engineering teams with high-level programming

FAQs

  • What programming language does HPCC Systems use?
    HPCC Systems utilizes ECL (Enterprise Control Language), which is designed for high productivity and efficient data processing.
  • Can HPCC Systems be deployed on the cloud?
    Yes, HPCC Systems supports cloud-native containerized deployments using platforms like Kubernetes, as well as traditional bare-metal installations.
  • Is HPCC Systems suitable for real-time data processing?
    The platform is built for high-speed, parallel data processing, enabling near real-time analytics for large-scale datasets.
  • Does HPCC Systems offer machine learning capabilities?
    Yes, it includes built-in libraries for analytics and machine learning, supporting advanced data science workflows.
  • Is HPCC Systems really open source?
    HPCC Systems is fully open source and supported by an active community of developers and users.

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