Making Earth Data
Science Easier
More data means more opportunities. More opportunity for R&D, more opportunities to discover new insights, and more opportunities to create data driven ideas for helping the earth.
Earth Big Data’s SEPPO software makes managing, deploying, and scaling your earth science data analysis in the Cloud easy, which lets you focus on the opportunities.
Bringing Your Big Data Analysis to the Cloud
More data requires more compute and storage capacity. Adding more on-premise hardware is a possibility but a fixed footprint means either being oversized (expensive) or undersized (limiting). In addition, requirements can change in an instant. Geospatial scientists need the on-demand infrastructure of the Cloud and need SEPPO to make the Cloud easy.
Earth Big Data software offers:
Easy Access to Limitless Compute & Storage Resources
Analyze more data while significantly reducing the time it takes to run your analyses.
Comprehensive Recipe Management
Create sophisticated workflows that leverage greater volumes of data.
Pre-Integration with the Most Widely Used Geospatial Analysis Programs
Leverage the programs you already know but in the Cloud and without any additional work.
Cloud Resource Management with Cost Control
Take full advantage of the Cloud's on-demand infrastructure while minimizing costs.
CI/CD
Automate deployments, the retrieval and pre-processing of data, and the propagation of credentials.
A Familiar Front-End (Linux)
Manage, deploy, and scale your earth science application without needing to become a Cloud expert.
Support for How You Are Already Working
Run custom, open-source, and commercial earth data science applications in the Cloud.
Key Features
Deploying & CI/CD
Deployment in the Cloud is simplified with tools for code synchronization, pre-built integrations for the most widely used geospatial analysis programs, and a Linux style command structure.
Managing Cloud Resources
As earth data science applications grow more sophisticated, users need additional tools for managing recipes, managing credentials, and monitoring application workflow.
Scaling Big Data Science
Taking advantage of the Cloud’s "limitless" resources is easy with recipe workflow and tools for leveraging on-demand resources while minimizing Cloud costs.
“Earth Big Data was founded to address the big environmental challenges of our time.”
— Dr. Josef Kellndorfer, President & Principal Scientist
Trusted by Scientists Around the World
