Ratings and Reviews 77 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 DeviceHive?
DeviceHive serves as an open-source platform for IoT data, providing a wide range of integration options. Its flexible deployment strategies cater to organizations of all sizes, making it ideal for both large corporations and new startups. Users can choose deployment methods like Docker Compose and Kubernetes, allowing them to operate in private, public, or hybrid cloud settings and seamlessly scale from a single virtual machine to an expansive enterprise cluster. For those pressed for time, DeviceHive offers a public playground for exploration without the need for installation. Whether you are in the early stages of prototyping or working on extensive enterprise applications, a minor investment in DeviceHive can yield significant benefits for your organization. This platform empowers you to focus on business expansion rather than becoming overwhelmed by technical details. Moreover, DeviceHive adheres to high software design standards, employing a container-based, service-oriented architecture managed by Kubernetes, which guarantees both efficiency and adaptability. By choosing DeviceHive, you not only embrace the future of IoT but also revolutionize your approach to project execution and innovation. With its user-friendly features, DeviceHive is poised to enhance your IoT journey.
Integrations Supported
Kubernetes
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Microsoft Azure
MongoDB Atlas
Integrations Supported
Kubernetes
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Microsoft Azure
MongoDB Atlas
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
DeviceHive
Date Founded
2012
Company Website
www.youtube.com/watch
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 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