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SuperMap Software Co., Ltd
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SuperMap - Cloud GIS Application iServer

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Cloud GIS application server based on high- performance cross-platform GIS kernel has the capabilities of 2D and 3D integrated service publishing, management and aggregation functions, and provides multi-level expansion and development. It provides powerful spatial big data storage, spatial big data analysis and stream data real-time processing and other Web services to support mass data "slice-free" publishing. It also provides a variety of SDKs such as PC, Web and mobile and deep integration of Docker, Kubernetes and other technologies. It supports cloud native architecture, and can quickly build large spatial data application systems based on cloud integration.

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application server
GIS service
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Distributed Storage and Management of Spatial Data

  • Support MPP distributed relational database: Postgres-XL, distributed MySQL
  • Support distributed NoSQL database: MongoDB, Elasticsearch, Hbase.
  • Support distributed le system HDFS.
  • Support cloud data storage:Alibaba, HUAWEI, Amazon.

Intelligent Cluster

  • Support the Heterogeneous cluster for cross hardware platform and cross operating system platform.
  • Support distributed, multi-tier cluster structure. Support any cluster service node and GIS application node dynamically join the cluster service.

Distributed Stream Data Processing

  • Support accessing streaming data of multiple transport protocols and formats.
  • Support the access and processing capability of 100 thousand levels of space objects per second.
  • Support Web conguration process.

3D

  • 3D spatial operation: intersection, union, subtraction, etc.
  • 3D spatial analysis: sunshine analysis, skyline, visibility area, 3D buffer zone, etc.
  • 3D modeling: stretching, lofting, building closure, etc.
  • Support urban design rules.

Support Cloud Native

  • Support Microservice Architecture for elastic scaling and exible deployment of GIS services.
  • Support Docker containerization technology for efficient deployment, highperformance running and low resource occupancy of cloud GIS.

Spatial Data Distributed Analysis and Computing

  • Support distributed architecture like Spark, Hadoop YARN, etc.

High Performance Distributed Dynamic Rendering Technology

The Generation and Distribution of Vector Tiles