Apache Hop
Apache Hop is a modern data orchestration and engineering platform. It's a forked project from the Pentaho Data Integration (PDI or Kettle). Hop has since evolved independently with its own direction and enhancements.
Key features include a visual-oriented approach, coherent Git integration, and functional extensibility through a plugin system. Compatibility with technologies including Apache Beam and Neo4j ensures for building flexible, high-performance data pipelines.
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Related articles
Apache Hop 101, introduction and installation
Categories: Data Engineering | Tags: Data Engineering, DevOps, Learning and tutorial, Pipeline, Airflow, Hop, Iceberg, NiFi, Argo Workflows, Docker, Git
Apache Hop is an ETL (Extract Transform and Load) tool designed to make pipeline development intuitive, maintainable, and scalable. This article is part of a serie of 2 articles: Apache Hop 10…
By Mori HUANG
May 10, 2026
Apache Hop 101, quick tutorial to get started
Categories: Data Engineering | Tags: Data Engineering, DevOps, Learning and tutorial, Pipeline, Airflow, Hop, Iceberg, NiFi, Argo Workflows, Docker, Git
This hands-on tutorial walks through the creation of a project, pipeline, and workflow in Apache Hop. Building on the core concepts introduced in the previous article and using a Docker-based…
By Mori HUANG
May 26, 2026
