HPCC
HPCC Systems is an open-source platform for high-speed data engineering and analytics, designed to unleash the power of data lakes with Kubernetes architecture and machine learning capabilities.
Overview
What is HPCC?
HPCC Systems is a purpose-built platform for high-speed data engineering, offering ultra performance, productive programming with ECL, analytics, machine learning, and multi-language support. It is open-source, reliable, secure, and supports cloud-native and bare-metal deployments.
What is HPCC used for?

Top Features
- Kubernetes architecture
- Ultra performance
- ECL programming language
- Analytics and machine learning
- Third-party integrations
- Multi-language support
- Open-source
- Reliable and secure
How to use HPCC?
Get started by viewing demo videos, testing in the cloud with no setup, or deploying via documentation. Use ECL programming language, IDE tools, and tutorials to develop data pipelines, integrate with third-party systems, and leverage machine learning libraries.
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Pros & Cons
Pros
- High-speed data processing
- Open-source and free
- Supports cloud and self-hosted deployments
- Extensive documentation and community
- Multi-language integration
Cons
- Steep learning curve for ECL
- Primarily targeted at enterprise users
Use Cases
- Data lake management
- Big data analytics
- Machine learning projects
- Cloud-native data engineering
- Enterprise data processing
HPCC Pricing
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