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Average Ratings 0 Ratings
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
The Niagara Framework® is an all-encompassing software platform designed to tackle the complexities involved in developing device-to-enterprise applications. It functions as a pivotal hub for linking real-time operational information to the personnel and systems responsible for managing workflows in environments such as smart buildings, data centers, industrial operations, smart cities, and various business sectors. This framework delivers essential, cyber-secure connectivity for devices and capabilities for data normalization, which are crucial for extracting and utilizing operational data from both device-level and equipment-level silos. At the heart of Niagara lies a control engine that empowers users not only to track data movements but also to formulate logic sequences that enable control programming based on observed data. Furthermore, systems integrators can leverage the data management and user interface applications incorporated within Niagara to oversee historical data, schedules, and alarms, thereby enhancing operational efficiency. Ultimately, the framework offers a robust solution for seamless integration and management of diverse data sources across multiple applications.
API Access
Has API
API Access
Has API
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
Modius OpenData
Veea Edge Platform
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
Modius OpenData
Veea Edge Platform
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
Tridium
Founded
1997
Country
United States
Website
www.tridium.com/us/en/Products/niagara
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