Average Ratings 1 Rating
Average Ratings 0 Ratings
Description
A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.
Description
Data Collection Core is a software solution from Iotsmart that facilitates the real-time gathering of data from OPC Servers and various devices, processes it, and allows for output to multiple storage solutions simultaneously, consolidating information from all connected devices in one centralized location. You can operate the DCC in the cloud or on-premises, utilizing platforms like Azure IoT Edge, AWS IoT Edge, or virtual machines with a containerized setup. This ensures you receive accurate data directly from your sensors while connecting seamlessly with OPC UA and HTTPS outputs, allowing for the integration of numerous devices with performance that surpasses standard client solutions. The system also supports server redundancy for OPC UA and MQTT, ensuring reliability and continuity. Our team of IoT specialists is available for support, providing troubleshooting assistance and tailored customer service to enhance your experience. With our focus on managing your digital solutions, you can concentrate on running your business effectively. The entire system is packaged using Docker images, making it easy to deploy across various cloud platforms, including Azure and AWS, ensuring flexibility and scalability for your operations.
API Access
Has API
API Access
Has API
Integrations
Azure IoT Edge
Azure Marketplace
Bright Wolf Industrial IoT Platform
EasyTerritory
Equinix Smart View
Everyware Software Framework (ESF)
FactoryTalk Edge Gateway
FairCom DB
FairCom EDGE
GlobalSign IoT Edge Enroll
Integrations
Azure IoT Edge
Azure Marketplace
Bright Wolf Industrial IoT Platform
EasyTerritory
Equinix Smart View
Everyware Software Framework (ESF)
FactoryTalk Edge Gateway
FairCom DB
FairCom EDGE
GlobalSign IoT Edge Enroll
Pricing Details
$10 per IoT unit per month
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/iot-hub/
Vendor Details
Company Name
IoTSmart
Country
Mexico
Website
iotsmart.io
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization