Ratings and Reviews 86 Ratings
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What is HiveMQ?
HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
What is Azure Industrial IoT?
Create and implement Internet of Things (IoT) solutions that effectively unite both contemporary and traditional machinery, enhancing connectivity among suppliers, clients, and a globally distributed workforce. The Azure Industrial IoT framework highlights the importance of developing new solutions and utilizing data in accordance with established industry standards, thereby minimizing reliance on any specific vendor. Optimize your operations by taking advantage of swift asset discovery, outstanding global support, and a wealth of security expertise that extends from hardware to cloud applications. Ensure you maintain control over your solutions while successfully integrating existing equipment, setting the stage for future technologies or new assets. Design industrial IoT solutions that comply with OPC UA standards, guaranteeing interoperability with a range of industrial devices and systems. Moreover, improve data contextualization through powerful visualizations, leveraging Azure's managed services, open-source tools, and open industrial data models in both edge and cloud settings, ultimately fostering innovation in your business practices. By adopting this strategy, you not only enhance operational efficiency but also contribute to the development of a sustainable and flexible industrial ecosystem that can adapt to changing demands. This holistic approach ensures that your organization remains competitive and resilient in the face of evolving technological landscapes.
Integrations Supported
Adroit Ignite
Amazon Kinesis
Assembly
Azure CDN
Azure Sphere
Beats
Docker
FactoryTalk Edge Gateway
IBM StreamSets
ICONICS' Intelligent Building Software (IBSS)
Integrations Supported
Adroit Ignite
Amazon Kinesis
Assembly
Azure CDN
Azure Sphere
Beats
Docker
FactoryTalk Edge Gateway
IBM StreamSets
ICONICS' Intelligent Building Software (IBSS)
API Availability
Has API
API Availability
Has API
Pricing Information
$0.34/hour
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
HiveMQ
Date Founded
2012
Company Location
Germany
Company Website
www.hivemq.com
Company Facts
Organization Name
Microsoft Azure
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/solutions/industry/manufacturing/iot/
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
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling
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