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Apache Hop 101, introduction and installation

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Apache Hop 101, introduction and installation

5 min readMay 18, 2026

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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 101, introduction and installation
  • Apache Hop 101, quick tutorial to get started (coming soon)

Originally forked from the Pentaho Data Integration (PDI or Kettle), Apache Hop has evolved independently, and while some elements differ from PDI, the familiarity still makes it approachable for users.

The data orchestration and data engineering platform not only lets data engineers design workflows and pipelines visually but also allows version control thanks to its file-based architecture and flawless integration with Git technology.

Hop also features a flexible plugin system to extend its functionality with custom plugins, including pipeline and workflow engines, database, and other components.

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Etract Load and Transform

Kettle/PDI and Hop

The two projects share similar concepts, which may feel intuitive to users familiar with PDI. Plus, PDI projects can…

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Written by Adaltas

Open Source consulting - Big Data, Data Science, Node.js

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Published in Adaltas

All our publications about Open Source, Big Data, Data Engineering, DevOps and Data Science.