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Datafeeder: ingesting and publishing data in geOrchestra

Note

This documentation is a work in progress. It documents the Datafeeder module, in active development in 2026.

Why ?

Publishing a dataset in a Spatial Data Infrastructure usually means juggling several tools by hand: uploading a file or connecting to a source, staging it in a database, fixing up columns and projections, publishing a layer on GeoServer, writing a metadata record on GeoNetwork, and eventually keeping all of that in sync when the source data changes.

Datafeeder brings this into a single guided workflow, from source to published layer, with a dashboard to track every dataset's state and to keep it up to date over time.

What ?

Datafeeder is a data ingestion module for geOrchestra. It manages the full lifecycle of a dataset (geospatial or not): upload/sourcing → staging → transformation → publication → recurring refresh.

It supports CSV, GeoPackage, GeoJSON, zipped Shapefile, Parquet and GeoParquet files, as well as OGC services (WFS / OGC API Features), FTP and database sources.

  • User guide: how to import, transform, publish and maintain a dataset day to day.
  • Install guide: how to deploy and configure Datafeeder on a geOrchestra platform.
  • Contribute: how the project is built, and how to work on it.