FME Desktop is a flexible and powerful ETL toolset used by thousands of GIS professionals worldwide. Three components compose FME Desktop: FME Workbench, FME Data Inspector and FME Quick Translator.
Read and write data in over 335 formats with a single toolset. FME Desktop’s format support is unrivalled in the industry and supports CAD, GIS, raster, database, 3D and BIM formats; for example, AutoCAD DWF/DWG, Bentley Microstation Design file, ESRI Shape, GeoTIFF, Industry Foundation Class STEP Files (IFC) and Oracle Spatial. You can also execute SQL queries against your spatial database, including ESRI ArcSDE, MySQL, PostGIS and SQL Server Spatial.
Ensure rapid coordinate system conversion. With FME Desktop, you can choose from thousands of pre-defined coordinate systems based on a variety of projections, ellipsoids and datums. You can also define your own coordinate system.
FME Desktop provides FME Quick Translator and FME Workbench for format and coordinate system translations.
Ensure you see the spatial data in the way you want to see it. The Transformer Gallery offers more than 400 transformers to help you easily and accurately manipulate the geometry and attributes of your spatial data as it moves from the source system to the destination system.
Typical data transforming include performing geometric operations, renaming attributes, calculating new attribute values, joining attributes from a database to feature geometry and adjusting feature symbology.
User can easily define data flows with FME Workbench’s graphical authoring environment.
Data Inspector lets users quickly inspect spatial data’s geometry and attributes – before, after and during the transformation process. You can use it to examine features, identify attributes and values, and enhance the display using color, symbols and labelling.
Save time through efficient batch processing. With FME Desktop, you can set your spatial ETL data flows (workspaces) to run automatically from Windows schedule or a command line. Build one workspace and run it on multiple data sets – there’s no need to manually change the source in each workspace.