CartoDB
CartoDB is an open source platform for building location intelligence applications. It allows users to visualize geospatial data and perform spatial analysis through an easy to use drag-and-drop interface. Key capabilities include mapping, analysis, and sharing of geospatial data
mapping
geospatial-data
spatial-analysis
location-intelligence
CartoDB: Open Source Location Intelligence Platform
CartoDB is an open source platform for building location intelligence applications. It allows users to visualize geospatial data and perform spatial analysis through an easy to use drag-and-drop interface. Key capabilities include mapping, analysis, and sharing of geospatial data.
What is CartoDB?
CartoDB is an open source platform for building location intelligence applications. It provides capabilities for spatial data storage, visualization, analysis, and publishing. Key features include:
- User-friendly drag and drop interface for creating interactive maps and dashboards
- Visualization of geospatial datasets such as points, lines, and polygons
- Options for customizing maps with different basemaps, styles, widgets, and other elements
- Spatial analysis functions like heatmaps, clustering, and targeted marketing campaigns
- APIs for developers to integrate location intelligence into applications
- Data Observatory dataset with thousands of valuable geospatial datasets
- Hosted cloud infrastructure or on-premises enterprise installation options
CartoDB allows individuals and organizations to unlock insights from location data. Its flexibility supports use cases ranging from basic mapping and visualization to advanced spatial analytics. An intuitive interface makes CartoDB accessible to GIS beginners while expert users have access to more complex functionality and customization.
CartoDB Features
Features
- Drag-and-drop interface for visualizing geospatial data
- Built-in spatial analysis and geocoding capabilities
- Ability to create interactive maps and dashboards
- Integration with PostgreSQL/PostGIS for managing spatial data
- APIs for building custom location-based applications
- Cloud hosting and sharing options available
Pricing
- Free
- Freemium
- Subscription-Based
Pros
Intuitive and easy to use
Powerful spatial analysis functions
Scales to large geospatial datasets
Great for non-GIS experts to build mapping apps quickly
Active open source community support
Cons
Limited customization compared to traditional GIS software
Cloud hosting can get expensive at scale
Steep learning curve for more advanced analysis
Not ideal for complex or highly customized apps
Official Links
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