Ratings and Reviews 77 Ratings
Ratings and Reviews 0 Ratings
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 EMnify?
EMnify provides a comprehensive solution for IoT SIMs, enabling global and multi-technology network connectivity for devices in over 180 countries. Our service is designed with multiple layers of redundancy, guaranteeing high-quality connectivity and optimal network uptime. By incorporating EMnify into your cloud infrastructure, you can access real-time performance analytics on connectivity. Furthermore, EMnify CloudConnect ensures secure, end-to-end data transmission, negating the need for complicated VPN configurations. With our platform, you can seamlessly manage the SIM lifecycle, oversee network performance, regulate data consumption, and configure devices directly within your existing applications and business systems. Our powerful API streamlines these processes, allowing you to take control of your IoT connectivity. Central to our services is a strong commitment to secure and confidential data management, with rigorous measures implemented to protect sensitive information. Regular independent audits reinforce our dedication to maintaining the safety of your data and that of your customers, assuring reliability in an increasingly interconnected environment. This commitment not only builds trust but also enhances the overall user experience in managing IoT deployments.
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Microsoft Azure
Amazon S3
Apache Kafka
Automate.io
Azure Event Hubs
DigitalOcean
Docker
Google Cloud BigQuery
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Microsoft Azure
Amazon S3
Apache Kafka
Automate.io
Azure Event Hubs
DigitalOcean
Docker
Google Cloud BigQuery
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
EMnify
Date Founded
2014
Company Location
Germany
Company Website
www.emnify.com
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