Unify your location data and make it discoverable.
SpatialCat is a data catalogue that automatically generates hexagonal previews from your spatial datasets. It presents them together on an interactive map, highlights the links between them, and encourages your users to explore.
Selected for AWS Startups 2023 Build Accelerator!
Map-centric search
SpatialCat is a single pane of glass for all your spatial datasets and metadata. Effortlessly search and locate datasets using an intuitive map interface, not a list or gallery.
Automated data previews
Generate previews of your data without any coding, saving time and effort. Schedule automatic syncing and refreshing of datasets, or push your own definitions using our API. Only metadata and indexes are stored, minimising data duplication and optimising storage efficiency.
Integrated with Uber's H3 index
Harmonize location data from multiple systems with the H3 hexagon index for easier discovery and analysis. Enable efficient data discovery by filtering datasets based on shared location or metadata, and see actual data extents, not just a bounding box.
Intuitive hierarchical tagging
Improve data knowledge and discovery of linked data by using customisable hierachies. Organize and categorise data based on your specific business needs, whether it's related to data systems, ETL activities, glossaries, or network topologies.
Enhance and extend your existing data portal
SpatialCat can keep in sync with your existing open data portal automatically so you can continue to manage your data in one place, while offering your users the option of a new map-based search experience.
Put your data on the map.
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