🌐Publish your outputs as Ellipsis Drive layers
Ellipsis Drive enables you to publish spatial outputs from external systems directly into structured, queryable layers.
This supports automated delivery of large volumes of spatial data, as well as frequent updates from analytical or operational pipelines.
Publishing can be performed through the web application or fully automated via the API, Python package, or R library.
Automated publishing workflow
When publishing data programmatically, the typical workflow consists of the following steps:
1. Create an access token to authenticate your application or pipeline.
2. Identify the folder where the new layer should be created. If no folder is specified, the layer will be created in the root directory.
3. Create a new layer in the selected folder using this API call.
4. Create one or more timestamps within the layer using this API call.
5. Upload spatial files into the created timestamp using this API call.
6. Once uploads are complete, activate the timestamp using this API call.
7. Ellipsis Drive automatically transforms the uploaded data into a high-performance, interoperable web service.
Vector data updates (transactional mode)
Vector layers also support incremental updates.
Instead of publishing full datasets, you can:
This enables real-time or event-driven spatial data workflows.
In Python workflows, this can be done using native spatial objects such as GeoPandas dataframes or Shapely geometries.
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