Strato Workflows for AWS-Based
Geospatial Data Processing
A self-hosted AWS-based tool for processing large geospatial datasets with automated workflows
Request a DemoA self-hosted AWS-based tool for processing large geospatial datasets with automated workflows
Request a Demo
Define and schedule automated workflows for satellite, LiDAR, and raster data processing without manual intervention.
Deployed entirely in your own AWS account using services such as AWS Lambda, Step Functions, S3 and ECS.
Real-time dashboards show pipeline performance, job duration, and per-workflow cost breakdowns.
All infrastructure is in your AWS account. Full ownership, no proprietary lock-in, fully auditable.
Drag-and-drop pipeline design with support for custom processing steps, branching, and parallel execution.
Connect the Github repositories containing your custom algorithms to update workflows automatically with the latest versions.
Strato Workflows combines a web-based dashboard, GitHub integration, and deployment directly in your AWS account. We launch and configure it for you free of charge.
Use the visual workflow builder to define your processing pipeline. Connect data sources, processing steps, and output destinations using our drag-and-drop interface.
Upload geospatial data to your S3 bucket or trigger a workflow via GitHub push, scheduled cron, or API call. Strato Workflows automatically starts the processing job.
AWS Lambda and ECS handle compute-intensive processing steps. Strato Workflows auto-scales to handle large datasets without manual resource management.
Track job progress, view logs, and monitor costs in real time. Built-in alerting notifies you of failures or anomalies before they impact downstream systems.
Processed outputs are stored in your S3 bucket, ready for visualization in Strato Maps, downstream APIs, or external systems via configurable webhooks.
Strato Workflows supports GeoTIFF, LAS/LAZ, Shapefile, GeoJSON, CSV, and most standard geospatial formats. Custom format support can be added via processing plugins.
No. All data is stored and processed within your own AWS account. Strato Earth has no access to your data.
Yes. Strato Workflows integrates with GitHub, AWS S3, and exposes a REST API for triggering workflows from any external system.
Yes. Per-workflow cost estimates are shown before execution and actuals are reported after. You can set cost alerts and hard limits per pipeline.
Yes. Workflows support custom processing containers, allowing you to bring your own algorithms and run them at scale in a managed pipeline environment.