Edge GIS server, which is deployed near the client or the data source side, is to achieve near-by service publishing and real-time analysis and calculation, reduce response latency and bandwidth consumption and reduce the pressure of cloud GIS center. It provides efficient service publishing capabilities and supports the rapid release of massive vector data.

It can be used as the edge node between the cloud and application terminals of GIS. By using service proxy aggregation and cache acceleration technology, it can effectively improve the terminal access experience of cloud GIS, and provide the ability of intelligent content distribution and efficient edge analysis and calculation, and help to build a more efficient and intelligent "cloud-edge-terminal" GIS application system.


Edge content distribution

  • Efficient and reliable distribution technology: distributes GIS data of cloud GIS center to edge nodes quickly and securely.
  • Flexible and convenient distribution methods: automatically distributes by region and level without any manual operates, and newly adds append distribution mode.
  • Plentiful distribution data types: local files, vector and raster tiles, WebP tiles, 3D terrain and model tiles.
  • Powerful service distribution capabilities: SuperMap REST and vector tiles services, OGC standard services, third-party services, SuperMap REST services, etc.

New edge cloud native distribution mode

  • Creates iEdge cluster with multi-node based on K3s technology, which improves the efficiency of proxy service.
  • All nodes share the same service configuration and backup for each other, which improves proxy the stability of proxy service.
  • Provides automatic scaling mechanism based on CPU threshold, which considers both performance and resource utilization.

Edge pre-proxy and acceleration

  • Proxy standard services: SuperMap REST service and OGC service.
  • Proxy internet services: Google map service, etc.
  • Proxy services published by third-party: open source platform and business platform.
  • Efficient service acceleration mechanism to greatly improves service throughput and reliability.

Edge service aggregation

  • Map aggregation: aggregates multiple maps from different sources into one map.
  • Data aggregation: aggregates multiple data from different sources into one data source.

Edge analysis and computing

  • Edge dynamic mapping: based on local data, PostGIS data and HBase data rendering.
  • Edge data query: based on local data, PostGIS data and HBase data space query,
  • Edge processing and analysis: measurement, coordinate transformation, geospatial relations, geospatial computing.


Technical Docs