HPCC Systems

7.3easy start · #1 of 17
in Data Lake Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on api, Browser, Linux, Mac, self-hosted, Web, Windows.

HPCC Systems is ranked #1 of 17 in data lake software on The Geeks Club. It runs on API, Browser extension, Linux, macOS, Self-hosted, Web, Windows. There is a free plan.

HPCC Systems plans and pricing

All plans

Open source Free free to use · Apache 2.0 licensed · self-hosted cdn.hpccsystems.com · 30 Sept 2026

Compared on data lake software

Free plan: Yes
Deployment model: hybrid
Ingestion modes: both
Metadata catalog: Yes
Governance controls: Yes
Query interface: both
Data sharing: Yes

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The record

Purpose: HPCC Systems is an open-source, data-intensive supercomputing platform for enterprise big-data problems.
Architecture: The platform includes the ECL programming language, Thor data-refinery engine, and Roxie data-delivery engine.
Data lake: HPCC Systems is a dedicated end-to-end data-lake management platform for combining mixed-schema data.
ECL: ECL is a declarative, modular language whose compiler optimizes code for parallel processing and compiles it into C++.
Processing: Thor performs ingestion, transformation, linking and indexing, while Roxie serves high-performance concurrent queries.
Scale: Clusters can scale from two computers to more than a thousand commodity-hardware nodes.
Cloud deployment: The cloud-native platform runs on Kubernetes and supports Azure Kubernetes Service and Amazon Elastic Kubernetes Service.
Storage: The cloud-native storage plane supports AWS S3, Azure Blob Storage, AWS Elastic Block Store, Azure Files and Azure Disks.
Security: Cloud-native security features include end-to-end encryption, Linkerd or Istio service meshes, OAuth 2.0 with Azure AD support, and JWT.
Security controls: Configurable security managers can protect landing zones, file scopes, recordset data, workunit execution and ESP services.
Machine learning: The Machine Learning Library provides ECL-accessible algorithms for building and testing qualitative or quantitative prediction models.
Integrations: Official integrations include Spark, Kafka, Couchbase, Redis, Memcached, Pentaho, R, JDBC, Java APIs and Tableau data connectors.
APIs: ESP exposes ECL queries through XML, HTTP, SOAP and REST interfaces, and deployed queries can be called with REST/JSON.
Operating systems: A current supported Linux system is required for a single-node cluster; ECL IDE is available for Windows and only client tools are supported on Apple OSX.
Price from: Free

Where it ranks on The Geeks Club

Best Data Lake Software in 2026#1 of 17

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Sources

hpccsystems.com/training/faqs/· checked 30 Sept 2026
cdn.hpccsystems.com/pdf/HPCC-Systems-Brochure.pdf· checked 30 Sept 2026
hpccsystems.com/platform/· checked 30 Sept 2026
hpccsystems.com/about/· checked 30 Sept 2026
hpccsystems.com/resources/securing-your-hpcc-systems-en· checked 30 Sept 2026
hpccsystems.com/resources/using-your-favorite-language-· checked 30 Sept 2026
hpccsystems.com/contact-us/· checked 30 Sept 2026