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 Bevywise IoT Platform?
The IoT Platform offers all the necessary components to effortlessly design and deploy a full-fledged IoT application. By leveraging the IoT Platform, you can focus on your core business goals, as it is customizable and can be tailored to reflect your brand identity. Rather than building from scratch, you can work on growing your customer base with greater efficiency. Thanks to its flexible architecture and strong support for IoT technology, this platform is ideal for service providers looking to consolidate their clients while ensuring secure connectivity between IoT devices and applications linked to a central server. Any device that sends or receives messages using MQTT over a TCP/IP connection can be classified as an MQTT client, with the protocol itself adhering to TCP/IP standards. Both the client and the broker function on this TCP/IP layer, which is also applicable in MQTT over SSL setups. The Bevywise platform simplifies the establishment of MQTT/TCP connections, aiding in the rapid development of IoT applications. Moreover, the multi-tenant device management capability allows for effective oversight of various customer device data within one platform, enabling each client to efficiently monitor and manage their IoT devices. This all-encompassing solution not only improves operational efficiency but also cultivates enhanced customer interaction and satisfaction. Ultimately, it empowers businesses to adapt to changing market demands while ensuring a streamlined user experience.
Integrations Supported
Microsoft Azure
MySQL
Amazon EC2
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
DigitalOcean
Docker
Google Cloud Platform
Integrations Supported
Microsoft Azure
MySQL
Amazon EC2
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
DigitalOcean
Docker
Google Cloud Platform
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
Bevywise Networks
Date Founded
2016
Company Location
United States
Company Website
www.bevywise.com/iot-platform/
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