FME Server Details

FME engines provide flexible scalability

FME Server is extremely flexible in its scalability because it uses and distributes queries throughout different FME instances – so-called FME engines. Any number of FME engines can be purchased and deployed to match the user's requirements and purposes. Of course, these may also be distributed over several computers to optimise their application.

FME Server services

  • Central management and distribution of data
    • Data upload and download service, data streaming service, KML network link
    • OGC services (WMS/ WFS)
  • Central execution and administration of services
    • Job submitter service
    • Catalogue service
  • Real-time data processing
    • Notification service
  • Other Services
    • Web connection (SOAP), REST, token security


  • Automated data(base) processes
    • Job scheduling
    • Causal concatenation of processes
  • Detailed results log
    • Success or failure of job
    • HTML report
    • JSON
    • XML

Data distribution

  • Internal/external distribution
  • Central data storage
  • User requires no knowledge of FME
  • Configurable parameters
    • Output format
    • Layer
    • Extend (X,Y or clip polygon)
    • Reference system

Processing real-time data

  • Event-based services
  • Real-time data received via
    • E-mail, UDP, HTTP post (REST)
  • Can be linked with any other actions
    • E-mail, logging, push request, FME process

Quality assurance

  • Data validated prior to upload or download
  • Faulty data returned
    • Report (e.g. HTML, XML)
    • Features (Shape, GML, AutoCAD, …)

A powerful component in your spatial data infrastructure

With its standardised REST interfaces, FME Server, as a platform-independent data hub, can provide all components within a spatial data infrastructure with the required data and formats. It is able to respond to and integrate both databases/applications and web services. Moreover, using the FME Notification Service, it is also able to receive and process information and distribute it to a user group, all in real time.