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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Advantech WebAccess/CNC Yes 
Azure Stream Analytics Yes 
Barracuda PST Enterprise Yes 
FactoryTalk No 
Google Cloud Platform Yes 
Microsoft Azure Yes 
SIGNL4 Yes 

Integrations

Advantech WebAccess/CNC No 
Azure Stream Analytics No 
Barracuda PST Enterprise No 
FactoryTalk Yes 
Google Cloud Platform No 
Microsoft Azure No 
SIGNL4 No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

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 No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

Product Features

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