Skip to content

Dekart Integration

Wherobots and Dekart are pleased to announce a new integration that brings the power of Wherobots' scalable geospatial compute to Dekart's intuitive visualization platform. You can now run large-scale spatial processing and create rich, interactive, shareable maps, all within the Dekart environment at https://cloud.dekart.xyz/.

This new integration accelerates time-to-insight by empowering business analysts and data scientists to directly explore huge geospatial datasets using familiar SQL and an intuitive map interface.

Your team can go from raw location data in your S3 bucket to an interactive map in seconds, not weeks. This dramatically accelerates your analytics cycle, allowing you to react to market changes faster.

Benefits

This integration bridges the gap between powerful spatial analysis and intuitive, interactive visualization:

  • Go from Spatial SQL to an interactive map in seconds without building complex ETL pipelines or manually moving data.
  • Create up-to-date visualizations from large, dynamic datasets. With Wherobots + Dekart, you don’t need to rebuild maps from scratch. Just rerun your Spatial SQL query and get an updated visualization from versioned data in your cloud storage.
  • Avoid proprietary lock-in with an architecture built entirely on open-source foundations like Apache Sedona, Iceberg, and Kepler.gl.

Key Features

Go from data to rich visualization with these powerful capabilities:

  • Direct Connection: Authenticate your Wherobots account directly within your Dekart workspace using API keys.
  • Query with Spatial SQL: Browse your Wherobots data catalog and run queries against your datasets from the Dekart interface.
  • Instant Visualization: Render query results immediately into a rich Kepler.gl map that supports point clouds, choropleths, and time-based animations.
  • Bring Your Own Data: Use Wherobots-hosted datasets or connect to your own data from AWS S3.

Important Considerations

When you run your first query on a connection, Wherobots needs to spin up the selected compute environment. This initial startup can take up to two minutes. Subsequent queries on the same active runtime will be significantly faster.

Get Started

Read the Documentation

For more detailed information and instructions, please refer to the following documentation: