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 FactoryTalk Edge Gateway?
The immense quantity and swift production of industrial data present significant challenges in achieving accurate capture. Even when successful, this data frequently lacks the essential context and usability required for practical application. Additionally, with operational data often locked within diverse devices or contained in separate systems, data scientists encounter substantial obstacles in data preparation and find it difficult to extract valuable insights aimed at enhancing industrial performance. FactoryTalk® Edge Gateway™ software directly addresses these challenges, providing actionable insights at both the plant and enterprise levels to support the digital transformation of the IIoT landscape. By streamlining and automating the processes of collecting, contextualizing, and structuring data from industrial equipment right at the source, it guarantees high levels of data integrity from the outset. This software establishes a solid foundation for the effective integration of IT and OT across the enterprise, empowering personnel ranging from shop floor workers to executive leaders to make informed and strategic decisions that promote operational excellence. As a result, this technology not only improves decision-making capabilities but also positions organizations to embrace future growth and foster innovation in an increasingly competitive landscape. The ongoing evolution of industrial practices hinges on such advancements that facilitate smarter operations and drive a culture of continuous improvement.
Integrations Supported
InfluxDB
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Azure Industrial IoT
Azure IoT Hub
Azure SQL Database
Cogent DataHub
Docker
FactoryTalk
Integrations Supported
InfluxDB
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Azure Industrial IoT
Azure IoT Hub
Azure SQL Database
Cogent DataHub
Docker
FactoryTalk
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
Rockwell Automation
Date Founded
1903
Company Location
United States
Company Website
www.rockwellautomation.com/en-us/products/software/factorytalk/operationsuite/factorytalk-edge-gateway-software.html
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
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
Manufacturing Intelligence
Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization