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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.

Media

Media

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

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