Average Ratings 1 Rating
Average Ratings 0 Ratings
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
Orquestra IIoT Data Manager serves as the comprehensive platform for data collection, effectively overseeing field data and transmitting insights regarding all company applications. This solution enables seamless communication with various machines and devices in the field, regardless of differing technologies, while standardizing the generated information to provide a unified interface that gathers data on machine operations and production workflows. Users can customize how processes are monitored, enhancing the accessibility of information and streamlining the management of production lines. It delivers real-time Overall Equipment Effectiveness (OEE) metrics, evaluates performance levels from production facilities, and ensures the precision of the data collected. The platform also automates the data gathering process, tracking progress and production seamlessly. Additionally, it offers instant reporting of events and critical situations, allowing for prompt corrective measures to be taken. With these features, Orquestra IIoT Data Manager significantly enhances operational efficiency and responsiveness in manufacturing environments.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS CloudTrail
Yes
AWS IoT Core
Yes
AWS IoT Device Defender
Yes
AWS IoT SiteWise
Yes
AWS Lambda
Yes
Amazon DynamoDB
Yes
Amazon Kinesis
Yes
Amazon OpenSearch Service
Yes
Amazon S3
Yes
Amotus
Yes
Integrations
AWS CloudTrail
No
AWS IoT Core
No
AWS IoT Device Defender
No
AWS IoT SiteWise
No
AWS Lambda
No
Amazon DynamoDB
No
Amazon Kinesis
No
Amazon OpenSearch Service
No
Amazon S3
No
Amotus
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
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)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/iot/
Vendor Details
Company Name
Softeam
Country
Italy
Website
www.softeam.it
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
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