No-code GIS
data pipelines
Ingest Shapefiles, KMLs, CSVs, and more with automatic geocoding, FIPS, encoding, and CRS detection. Automate everything between the data file and data analysis.
Never write another import script
Spatial ETL pipelines drain valuable engineering time. We'll manage importing, hosting, and querying your spatial data. Our drag-and-drop data importer automates your onboarding stack.
- Detects addresses and automatically geocodes
- Detects states, counties, ZIP codes, and cities
- CSV, KML, Geodatabase, and 7+ other formats supported
- Identify rare coordinate systems
Have a file format we can't parse? First import's on us.
Scale your GIS data analysis
Even spatial databases feel growing pains. We're built to scale, whether it's for your neighborhood, or your continent.
- Handle 1M+ points
- Generous free tier
- Execute Python analysis scripts
- Visual IDE for analysis
Focus on the data analysis and leave the spatial ETL pipeline to us.
Built on open source.
Turbocharged in the cloud.
Manage spatial analysis without infrastructure, ETL pipelines, file conversion and spatial joins.
64GB RAM
Typical memory requirement of a server managing GIS queries
Collaborative
Share map data links with your team
10 formats
Load your spatial data without converting formats
Predictable
Never get hit with surprise bills
Designed by GIS experts, for engineers.
We work closely with our customers. Their problems are our challenges.
Self-hosted
Available for the experienced GIS developer
- MIT licensed
- Jupyter notebook native
- On-premise data infrastructure
- Community support
Growth
Designed for fast-growing data startups
- Self-service onboarding
- 10+ file formats supported
- Up to 1M rows
- Up to 10 datasets
- Community support
Enterprise
Premium support, volume pricing, and custom solutions
- White-glove onboarding
- Satellite imagery analysis
- Curated dataset library
- Premium support SLA
- Data pipeline consulting