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Ratings and Reviews 0 Ratings
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What is ESF Edge Computing Platform?
Edge Computing facilitates the processing of data closer to its origin, effectively at the periphery of the network. This strategy significantly reduces the communication bandwidth needed between sensors and centralized data centers, as analytics and insights are produced on-site. The IoT service gateway model, which employs powerful enterprise software frameworks and functions as a controller and aggregator within IoT systems, provides an excellent foundation for deploying Edge Computing solutions. Eurotech’s Everyware Software Framework (ESF) is recognized as a commercial, enterprise-grade variant of Eclipse Kura, an open-source platform tailored for Edge Computing in IoT gateways. Distributed and supported by Eurotech, ESF enhances Eclipse Kura with advanced features that improve security, diagnostics, provisioning, remote access, and seamless integration with Everyware Cloud, Eurotech's IoT Integration Platform. Moreover, this integration not only amplifies the effectiveness of IoT deployments but also promotes improved efficiency in managing data flows, ultimately leading to a more responsive and streamlined operational environment.
What is Crosser?
Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Eclipse Kura
Company Website
esf.eurotech.com/v5.0.0/docs/edge-computing-platform
Company Facts
Organization Name
Crosser Technologies
Date Founded
2016
Company Location
Sweden
Company Website
www.crosser.io
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking