The latest articles on DEV Community by Peter Fabricius (@pfabricius). https://dev.to/pfabricius https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1937186%2Fb6457a99-a04f-4ffa-b4a7-25674c2bfecc.png https://dev.to/pfabricius en Peter Fabricius Mon, 15 Jun 2026 08:49:30 +0000 https://dev.to/pfabricius/iceduck-a-local-data-lakehouse-stack-for-learning-no-cloud-needed-26e1 https://dev.to/pfabricius/iceduck-a-local-data-lakehouse-stack-for-learning-no-cloud-needed-26e1 <p>I built <strong><a href="https://github.com/pfabrici/iceduck" rel="noopener noreferrer">Iceduck</a></strong>, an open-source <strong>Data Lakehouse stack</strong> that runs <strong>locally</strong> with Docker Compose. It combines <strong>MinIO, Apache Iceberg (via Polaris), Trino, Postgres, Spark, DuckDB, and Jupyter</strong> – all without cloud dependencies or costs.</p> <p>Iceduck lets you <strong>explore open-source tools</strong> like Apache Iceberg,DuckDB and Trino <strong>on your own machine</strong>, making it ideal for:</p> <ul> <li>Learning Data Lakehouse concepts</li> <li>Prototyping data pipelines</li> <li>Testing integrations between tools</li> </ul> <h2> What’s Inside? </h2> <ul> <li> <strong>MinIO</strong> for S3-compatible storage</li> <li> <strong>Apache Polaris</strong> as a REST catalog for Iceberg</li> <li> <strong>DuckDB</strong>, <strong>Trino</strong>, <strong>Spark</strong> as query engines</li> <li> <strong>Postgres</strong> as a metastore</li> <li> <strong>Jupyter</strong> for interactive exploration</li> </ul> <p>All the details (setup, usage, and configuration) are in the <strong><a href="https://github.com/pfabrici/iceduck#readme" rel="noopener noreferrer">README</a></strong>. I’d love to hear your thoughts:</p> <ul> <li>Would you use this for learning or testing?</li> <li>What’s missing or could be improved?</li> </ul> <p><strong>GitHub:</strong> <a href="https://github.com/pfabrici/iceduck" rel="noopener noreferrer">pfabrici/iceduck</a> (Apache 2.0 License)</p> <p><code>#dataengineering</code> <code>#opensource</code> <code>#datalakehouse</code> <code>#docker</code> <code>#apacheiceberg</code></p> dataengineering learning opensource showdev