How an Edge-to-Cloud Data Platform WorksLitmus Automation
Analytics & Modeling - Edge Analytics
Platform as a Service (PaaS) - Edge Computing Platforms
Edge Computing & Edge Intelligence
|[Data Management - Data Integration]|
Device Connectivity - Litmus Edge offers rapid data connectivity to all modern and legacy industrial systems with just a few clicks – enabling data collection and structuring data in a ready-to-use format by any edge or enterprise application.
Edge Analytics - Get immediate value at the edge with pre-built data visualizations and analytics for common KPIs to realize rapid time-to-value. Run data models created in the cloud back at the edge for closed-loop edge-to-cloud operations.
Application Deployment - Host and access public or private applications in a centralized repository with the ability to rapidly and securely deploy and run applications at the edge. Stream normalized and structured data to any pre-built or custom application.
Data Integration - Immediately feed valuable and ready-to-use data to any cloud or enterprise application to achieve a complete data picture from OT to IT. Activate machine learning and advanced analytics use cases with bi-directional integration from edge to cloud.
|[Data Management - Data Syncing]|
Edge-to-Cloud Deployments - A vast majority of companies are standardizing on one of these major cloud platforms – Microsoft Azure, Google Cloud, AWS, or Cloudera. Litmus has built great relationships and pre-integrated Litmus Edge with these and other vendors.