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Description
Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.
Description
X-Force Historian is designed to capture and retain high-fidelity industrial big data, thereby unlocking potential for enhancements in operational efficiency. With its capacity to manage millions of tags, it offers robust capabilities to gather and preserve essential process data. You can monitor an individual process or oversee an entire facility seamlessly. Data can be stored locally while being aggregated at the enterprise level, effectively meeting even the most rigorous analysis and reporting needs. Historians document everything from immediate diagnostics to long-term records necessary for compliance with regulations. As a high-performance time series data historian, X-Force Historian can scale up to 100,000 tags and handle performance levels of up to 30,000 samples per second. This advanced process historian is adept at storing vast amounts of data produced by modern industrial facilities. Moreover, it facilitates quicker and more informed decision-making while ensuring that all stakeholders are updated on operational performance metrics. By utilizing X-Force Historian, organizations can enhance their data management strategies significantly.
API Access
Has API
API Access
Has API
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
FactoryTalk
Google Cloud Platform
Microsoft Azure
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
FactoryTalk
Google Cloud Platform
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Crosser Technologies
Founded
2016
Country
Sweden
Website
www.crosser.io
Vendor Details
Company Name
SSM InfoTech Solutions
Founded
2001
Country
India
Website
www.ssminfotech.biz/xhs
Product 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