Ratings and Reviews 66 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 AWS IoT Core?
AWS IoT Core allows for a smooth connection between IoT devices and the AWS cloud, removing the complexities of server management and provisioning. It is designed to support a vast number of devices and an immense volume of messages, processing and routing them securely and reliably to both AWS endpoints and other interconnected devices. This service ensures continuous monitoring and communication with devices, even during offline periods. Moreover, AWS IoT Core enhances the integration of various AWS and Amazon services, including AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, enabling developers to construct IoT applications that effectively handle data collection, processing, analysis, and response without worrying about infrastructure management. Additionally, its ability to connect an unlimited number of devices makes it a highly scalable and adaptable solution for a wide range of IoT scenarios. This flexibility supports innovation in smart technologies across different industries.
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Cogent DataHub
AWS CloudTrail
AWS IoT
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon S3
Amazon SageMaker
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Cogent DataHub
AWS CloudTrail
AWS IoT
AWS Lambda
Amazon CloudWatch
Amazon DynamoDB
Amazon S3
Amazon SageMaker
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
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/iot-core/
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
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