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Ratings and Reviews 1 Rating
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What is Niagra Framework?
The Niagara Framework® serves as a comprehensive software platform that addresses the intricacies of creating applications that connect devices to enterprises. It acts as a central point for integrating real-time operational data with the teams and systems tasked with workflow management in a variety of settings, including smart buildings, data centers, industrial operations, and smart city infrastructures, as well as other business domains. This framework ensures vital, cyber-secure connections for devices and provides data normalization capabilities, which are essential for harnessing operational data from distinct device and equipment silos. Central to the Niagara Framework is a control engine that empowers users to monitor data flows and devise logic sequences for control programming based on the analyzed data. Additionally, systems integrators can utilize the integrated data management and user interface tools within Niagara to manage historical data, schedules, and alarms, thus promoting enhanced operational effectiveness. In conclusion, the Niagara Framework stands out as a powerful solution that facilitates the seamless integration and management of various data sources across a wide range of applications, ultimately driving improved decision-making and operational agility.
What is AWS IoT?
Devices are found in abundance across various environments, including homes, factories, oil wells, hospitals, and vehicles. As the proliferation of these devices accelerates, the necessity for robust solutions to connect, collect, store, and analyze the data they produce grows increasingly urgent. AWS offers a wide-ranging portfolio of IoT services that integrates seamlessly from the edge of the network to the cloud. One distinguishing feature of AWS IoT is its exceptional capacity to merge data management with sophisticated analytics, providing user-friendly services designed to navigate the intricacies of IoT data. The platform boasts an extensive array of security features, including proactive strategies like encryption and access control for device data, along with ongoing monitoring and auditing services. In addition to this, AWS is leading the charge in fusing artificial intelligence with IoT technology, significantly augmenting device intelligence. Users benefit from the ability to create models in the cloud, which can be deployed to devices, resulting in performance that is twice that of other solutions available in the market. Furthermore, the platform allows users to effortlessly generate digital twins of physical systems, which streamlines management and enhances operational efficiency. The capability to conduct analytics on vast volumes of IoT data without needing a separate analytics infrastructure not only improves functionality but also makes AWS IoT solutions highly attractive. Consequently, managing IoT ecosystems has never been easier or more efficient than it is with AWS's innovative offerings. This comprehensive approach positions AWS as a frontrunner in the IoT landscape, catering to the evolving needs of modern enterprises.
Integrations Supported
AWS App Mesh
AWS IoT Device Defender
AWS IoT SiteWise
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon DynamoDB
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker
Integrations Supported
AWS App Mesh
AWS IoT Device Defender
AWS IoT SiteWise
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon DynamoDB
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker
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
Tridium
Date Founded
1997
Company Location
United States
Company Website
www.tridium.com/us/en/Products/niagara
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/iot/
Categories and Features
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
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