GeoLabSpatial SQL Workbench
Scenario comparison

GeoLab vs kepler.gl

Both tools put an interactive geospatial experience in the browser. GeoLab centers the workflow on importing relations and writing DuckDB Spatial SQL; kepler.gl centers it on configuring visual layers, filters, interactions, and map state.

Compared against cited public documentation. Last reviewed August 26, 2026; product capabilities may change.

CapabilityGeoLabkepler.gl
RuntimeBrowser application using DuckDB-WASMBrowser geospatial visualization application and embeddable React component
Primary interactionSQL editor, query results, and map layersVisual layer configuration, filters, interactions, and map controls
SQL firstYesNo built-in general Spatial SQL workbench; applications can prepare data before passing it to kepler.gl
Multi-source Spatial SQLYes; local relations can be joined in DuckDBNot a core kepler.gl capability
Local browser processingFiles and queries run in the current browser tabVisualization state and loaded datasets are handled in the browser; host applications control their data pipeline
VisualizationPoints, lines, polygons, multi-geometries, and collections with basic stylingVisualization-first layer types, filters, animation, interaction, and configurable map presentation
Feature editingNoNo general-purpose GIS geometry editing workflow
PersistenceSession-onlyState can be exported or managed by the embedding application; kepler.gl is not itself a persistent geospatial database
Best fitAd hoc local Spatial SQL followed by map inspectionRich interactive geospatial visualization and application embedding

Use GeoLab when

  • You need to filter, aggregate, or spatially join CSV and GeoJSON before mapping the result.
  • The query text is part of the reproducible analysis artifact.
  • The current input scope and basic layer controls are sufficient.

Use kepler.gl when

  • The data is already prepared and the main task is interactive visualization.
  • You need kepler.gl's layer catalog, filter controls, animation, or embedding APIs.
  • A host application will own loading, transformation, persistence, and collaboration behavior.

Shared considerations

  • Neither tool is a replacement for full feature editing in a desktop GIS.
  • Browser memory and GPU resources affect practical dataset size and rendering behavior.
  • Basemap and other external assets may still require network access even when user data is processed locally.

Sources and scope

These links document the product behavior summarized above. GeoLab-specific claims are limited to the current public v0.1.0 implementation.

  1. GeoLab README and sourceCurrent v0.1.0 inputs, execution model, interface, and limitations.
  2. kepler.gl user guidesOfficial datasets, layers, filters, interactions, and map controls.
  3. kepler.gl API referenceOfficial embedding and application-integration surface.
  4. kepler.gl repositoryProject scope, packages, examples, and license.