Google Earth Engine vs uDig
Google Earth Engine
earthengine.google.comuDig
udig.github.ioSide by side
| Figure | Google Earth Engine | uDig |
|---|---|---|
| Price from | $0.40/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Plans published | 7 | 0 |
| Spec score · GIS Software | 8.3 (#10) | 6.9 (#39) |
| Spec score · Geographic Information Systems | 8.2 (#3) | 6.9 (#17) |
| Notable limit | The Limited plan is intended for self-serve, highly intermittent, non-business-critical, non-high-capacity workloads and has no usage credits, performance add-ons, or SLA. | The file-format guide cautions that many GIS formats consist of multiple same-name files with different extensions, and says all files in a set should be copied together. |
| Support | Technical support is available through Google Cloud Care, and support packages can include 24/7 coverage, phone support, and a technical support manager. | The project lists a user mailing list, developer mailing list, issue tracker, and IRC channel #udig as community resources. |
Plans
Google Earth Engine
- StorageFree
- Compute (Online and Batch)$0.40 a month
- Enterprise Basic$500 a month
- Individual & SMB Basic$500 a month
- Enterprise Professional$2,000 a month
- Enterprise PremiumPriced on request
- Individual & SMB LimitedPriced on request
In their own words
Google Earth Engine
Google Earth Engine combines satellite imagery and geospatial datasets for large-scale analysis of changes, trends, and surface differences. Its public archive holds more than eighty petabytes of geospatial data and over thirty years of historical imagery, with additions made daily. The web-based Code Editor includes JavaScript editing, map visualization, interactive queries, geometry drawing, task management, API reference, and Git-based script management. Python and JavaScript APIs also support local client-library use. Earth Engine integrates with Google Cloud and can load BigQuery tables, run BigQuery queries, and export results there; the maker also describes interoperability with tools including TensorFlow, PyTorch, Spark, and Pandas. Shareable Apps let stakeholders explore analyses through interactive interfaces. Uses include remote sensing, climate analysis, natural resource management, and sustainability. Eligible groups may qualify for restricted noncommercial use at no cost; commercial and government operational customers are charged. Individual & SMB Basic and Enterprise Basic cost $500 per month; Enterprise Professional costs $2000 per month. Usage-based storage and compute charges are also listed.