Spatial Data Management on AWS adds custom transformations

Spatial Data Management on AWS (SDMA) now supports custom transformation connectors and a unified desktop client installer. Custom transformation connectors let you run compute-intensive processing — such as format conversion, 3D rendering, image tiling, or metadata extraction — by submitting jobs to AWS Deadline Cloud using Open Job Description templates. You can extend SDMA's built-in content analysis with custom logic to verify formats, extract attributes, or run transformations that require dedicated compute resources.

Connectors run in isolated compute environments and automatically ingest declared outputs back into SDMA's governed asset repository, enabling you to automate and chain processing workloads across your spatial data pipeline. The SDMA desktop application now includes a standalone installer that bundles all required dependencies, removing the need to separately install the CLI or other components.

These features are available in the following AWS Regions: Asia Pacific (Tokyo, Singapore, Sydney), Europe (Frankfurt, Ireland, London), US East (N. Virginia, Ohio), and US West (Oregon). To learn more, visit the SDMA solutions library product page. For technical details, see the SDMA documentation.