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Ratings and Reviews 88 Ratings
What is IIoTNext?
IIoTNext is an industrial IoT solution provider focused on helping organizations connect equipment, monitor field assets, and use operational data to improve productivity and efficiency. The platform supports flexible IIoT architectures, including 100% on-premises deployments, hybrid environments, and fully cloud-based implementations. This flexibility allows companies to choose an approach that aligns with their security policies, infrastructure needs, budget, and long-term digital transformation strategy. IIoTNext helps industrial teams gather data from machines, sensors, generators, alarms, cold storage systems, marine vessels, power assets, and other critical infrastructure. Its solutions support remote monitoring, control, alerting, fuel visibility, temperature and humidity tracking, fire alarm notification, diesel generator management, and OEM asset monitoring. The platform is built for IT-OT convergence, enabling data connectivity from field systems to enterprise applications through technologies such as OPC-UA, ODBC, MQTT, and HTTPS. By bridging industrial communication protocols with modern IT and IoT frameworks, IIoTNext helps organizations move operational data into dashboards, analytics systems, and business workflows. The company serves verticals including water and wastewater, marine, renewable energy, cold storage, HVAC, power, infrastructure, and industrial operations. Its use cases show how IIoT can help businesses improve uptime, reduce manual inspection, increase visibility, and respond faster to operational issues. IIoTNext is positioned for organizations that want affordable Industry 4.0 adoption without sacrificing deployment flexibility or integration depth. By combining industrial connectivity, flexible architecture, and remote asset intelligence, IIoTNext helps companies modernize operations and explore new data-driven business models.
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.
Media
No images available
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
Integrations Supported
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.34/hour
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
CONSYST Digital Industries Pvt Ltd.
Date Founded
2009
Company Location
India
Company Website
iiotnext.com
Company Facts
Organization Name
HiveMQ
Date Founded
2012
Company Location
Germany
Company Website
www.hivemq.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
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