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Dekart

5.8/10

Open-source, self-hostable tool built on Kepler.gl that turns SQL query results from cloud data warehouses into shareable, interactive geospatial maps for data teams.

Data last updated November 2026 · Our methodology

Overview

Dekart is a backend for the Kepler.gl visualization library. Users write SQL against their own data warehouse, and Dekart turns the results into interactive WebGL maps with multiple layers, H3 hexagons, charts and query parameters. It connects to PostgreSQL, BigQuery, Snowflake, Wherobots and DuckDB. Databricks and Azure connectors are reserved for the Enterprise tier. Queries run inside the customer's warehouse and the results are cached, so data stays where it is. Teams share maps through links. Newer releases let the Claude and Codex AI agents run SQL-to-map loops and check their results against real geography, with a published geosql skill to support this. Dekart suits data and analytics teams that already keep spatial data in a warehouse and want an alternative to CARTO Builder, Foursquare Studio or BigQuery GeoViz without a traditional GIS stack. Pricing has three tiers. The open-source edition is free under AGPL and runs as a single Docker deployment. Premium is quote-based and comes with a trial. It adds SSO, private sharing, roles, passthrough data access control in BigQuery and Snowflake, map analytics, Slack support and a lifetime commercial license. Enterprise is also quote-based and adds custom connectors, branding, SSO and auto-scaling. The main limitation is scope. Dekart is a visualization and analysis layer, with fewer GIS editing, analysis and collaboration features than dedicated mapping platforms, and it offers nothing for asset maintenance or field work. No prices are published, and independent reviews are few.

Our Rating

5.8
out of 10

AI Software6/10

Integration
6
Analytics
6
Customization
5
Ease of Use
6
Support
4
Cost
8
Scalability
6
Security
6

Industrial & Infrastructure Software5.7/10

Integration
6
Security
6
Support
4
Cost
8
Analytics
6
Ease of Use
6
Customization
5
Scalability
6

Who Dekart is best for

Best software for Developers

Good fit

  • SQL-first, self-hosted via Docker and open source, so it suits technical data teams.

  • The free AGPL edition and simple single-container deployment keep entry costs low.

Less suited

  • The Enterprise tier adds custom SSO, connectors and auto-scaling, but the vendor is very small.

  • Dekart has no field app or work management features.

Pros & Cons

Pros

  • Queries run inside BigQuery, Snowflake or Postgres, so spatial data does not have to be moved to a separate GIS platform.
  • WebGL rendering stays responsive at around one million points, according to the project and a G2 reviewer.
  • The free AGPL edition can be self-hosted as a single Docker container.
  • Premium offers passthrough authentication, so warehouse permissions also apply to map viewers.
  • Built-in support for the Claude and Codex agents lets AI run SQL-to-map analysis and check it against real geography.

Cons

  • No public prices for Premium or Enterprise; both require a sales call.
  • Fewer GIS and collaboration features than dedicated mapping platforms, according to Felt's comparison.
  • A G2 reviewer wanted more customization of the UI and controls.
  • Small vendor with few independent reviews.

Key Features

GIS and Mapping

Not included

  • Work Orders
  • Offline Field App

Dekart Pricing

Open Source

Free
  • AGPL license
  • SQL map creation
  • Shareable map links
  • Single Docker deployment
  • PostgreSQL, BigQuery, Snowflake and Wherobots connectors
Start Free

Enterprise

Contact for pricing
  • Custom SSO
  • Custom branding
  • Databricks and Azure connectors
  • Custom integrations and database connectors
  • Auto-scaling beyond a single Docker deployment
Get Started

Premium

Contact for pricing
  • SSO
  • Map analytics
  • Slack support
  • Trial available
  • Private map sharing
  • User roles and permissions
  • Lifetime commercial license
  • Passthrough data access control in BigQuery or Snowflake
Get Started
Open interactive pricing calculatorGet a tailored cost breakdown for your team size, billing cycle, and add‑ons.

Frequently Asked Questions

Yes. The open-source edition is free on GitHub under AGPL-3.0. Premium and Enterprise are priced by quote.

PostgreSQL, BigQuery, Snowflake, Wherobots and DuckDB. Databricks and Azure connectors are Enterprise-only, and custom connectors can be requested.

Yes. Premium includes SSO, with options such as Google OAuth, Keycloak, AWS Cognito and Google IAP. Enterprise adds custom SSO.

Yes. Premium comes with a trial, and visitors can book a call with the founder to extend it.

Yes. A Dekart Snowpark application lets users create maps inside their Snowflake account without moving data out of it.

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