Google Earth Engine vs MapLarge
Google Earth Engine
earthengine.google.com
MapLarge
maplarge.comSide by side
| Figure | Google Earth Engine | MapLarge |
|---|---|---|
| Price from | $0.40/mo | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 7 | 1 |
| Spec score · GIS Software | 8.3 (#10) | 8.5 (#8) |
| 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 security page describes monitoring and customer-support options delivered through service-level agreements. |
| What it does | Earth Engine combines a large catalog of satellite imagery and geospatial datasets with planetary-scale analysis to detect changes, map trends, and quantify surface differences. | MapLarge Application Fabric turns live multimodal data into operational systems for mission workflows. |
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.
MapLarge
MapLarge Application Fabric is a platform for building governed operational AI applications from live satellite, sensor, and enterprise data. It combines dashboards, task management, alerting, sharing and collaboration, and a mapping engine. Its analytics toolkit supports GIS and track analytics across land, sea, air, space, indoor, and logical graph data. Deployments can run in cloud, on-premises, edge, mobile, or disconnected environments. Hosting options include SaaS or managed cloud, hybrid cloud, AWS, Microsoft Azure, and Google Cloud Platform; supported systems include Linux, Windows, Kubernetes, Docker, and OpenShift. The platform lists REST, JavaScript, and TypeScript APIs, SDKs for Java, Python, Node.js, C#, TypeScript, and JavaScript, OGC services, and major database support. Integrations include mapping, GIS, analytics, Salesforce, Dropbox, SharePoint, and Amazon connectors. Security includes role-based access, granular sharing, row- or cell-level permissions, and authentication through SAML, OAuth, Active Directory, PKI, or tokens. Pricing is on request.