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Description

There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.

Description

Introducing an advanced digital manufacturing platform driven by the Internet of Things, Datonis offers ready-to-use applications that facilitate monitoring, measuring, analyzing, and forecasting outcomes harnessing the capabilities of artificial intelligence. This platform adopts a holistic approach to integrate IT and operational technology systems, enabling the monetization of expertise through the development of new applications and services. The system includes interplant process benchmarking and predictive models for quality assurance, alongside real-time compliance checks for quality audits. It features alerts for process compliance, trends in Cpk, and monitoring of quality rejections and scrap, all while establishing correlations between processes and defects. The platform also provides alerts for checklist schedule violations, conducts trend analyses on checklist data, and offers a flexible framework for creating diverse types of checklists. Users can receive checklist notifications, log observations on mobile devices, and consult images and videos before making decisions regarding checklist items. Additionally, there is an interactive application for operators, enabling them to engage with the platform and track progress in real-time, while the operator workbench allows them to provide feedback, raise alarms, request assistance, and access engineering documentation as needed. This comprehensive integration not only enhances operational efficiency but also fosters a culture of continuous improvement within manufacturing processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
AWS IoT Core Yes 
AWS IoT Device Defender Yes 
AWS IoT SiteWise Yes 
AWS Lambda Yes 
AWS Step Functions Yes 
Amazon Data Firehose Yes 
Amazon DynamoDB Yes 
Amazon Kinesis Yes 
Amazon SageMaker Yes 
Amotus Yes 
Digital Twin Streaming Service Yes 
Everyware Software Framework (ESF) Yes 
Mendix Yes 
Mongoose Yes 
Mongoose OS Yes 
New Relic Yes 
PartiQL Yes 
Sibros Yes 
TagoIO Yes 

Integrations

AWS App Mesh No 
AWS IoT Core No 
AWS IoT Device Defender No 
AWS IoT SiteWise No 
AWS Lambda No 
AWS Step Functions No 
Amazon Data Firehose No 
Amazon DynamoDB No 
Amazon Kinesis No 
Amazon SageMaker No 
Amotus No 
Digital Twin Streaming Service No 
Everyware Software Framework (ESF) No 
Mendix No 
Mongoose No 
Mongoose OS No 
New Relic No 
PartiQL No 
Sibros No 
TagoIO 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 Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
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 Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/iot/

Vendor Details

Company Name

Altizon Systems

Country

India

Website

www.altizon.com

Product Features

Industrial IoT

Condition Monitoring No 
Data Visualization No 
Factory Data Analytics No 
Machine Learning No 
Machine Workflow Creation No 
Predictive Maintenance No 
Production Line / Factory Insights No 
Real-Time Monitoring No 
Reporting / Analytics No 
Smart Alerts / Notifications No 

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

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Industrial IoT

Condition Monitoring No 
Data Visualization No 
Factory Data Analytics No 
Machine Learning No 
Machine Workflow Creation No 
Predictive Maintenance No 
Production Line / Factory Insights No 
Real-Time Monitoring No 
Reporting / Analytics No 
Smart Alerts / Notifications 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 

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