New Formats in FME 2023+
Format Name |
Description |
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Airtable enables user-friendly workflows and collaboration across teams. Workspaces can be set up and shared with others. Each workspace can contain multiple bases, each of which can contain multiple tables. |
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FME can write Revit Project files. |
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FME can read and write Cloud Optimized Point Cloud (COPC) files. |
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FME can read attribute data held in Databricks database tables. |
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This FME Form Package writes non-spatial data to Databricks Delta Lake tables. |
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FME can read and write features on ArcGIS Feature Services hosted by either a standalone ArcGIS Server, ArcGIS Enterprise, or on Esri’s ArcGIS Online cloud service. |
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FlatGeobuf is a geospatial information storage format designed for efficient reading with large data volumes. |
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GeoParquet is an Open Geospatial Consortium (OGC) standard that extends Apache Parquet by adding interoperable geospatial types (Point, Line, Polygon). |
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FME can read and write attribute data held in dedicated SQL pools in Microsoft Azure Synapse Analytics. |
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NDGeoJSON is a newline-delimited variant of the GeoJSON format. |
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NDJSON is a newline-delimited variant of the JSON format. |
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CityGML 3 defines a standardized conceptual model that can be implemented in a variety of technologies. This reader supports the CityGML 3.0 Part 2: GML Encoding Standard, as well as the older CityGML 2.0 standard. |
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JPEG 2000 was designed to overcome the limitations of the original JPEG standard and provide high-quality images at low bit-rates. OpenJPEG JPEG 2000 includes new features and functionalities for client/server imaging applications and resource-constrained wireless devices. |
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FME can read metadata properties from a STAC (SpatioTemporal Asset Catalogs) Item and its ancestor Catalogs and/or Collections. |
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Zarr is an open source, file-based storage format, meant for storing large multi-dimensional typed arrays. |