Average Ratings 0 Ratings
Average Ratings 91 Ratings
Description
Devices, objects, and vehicles from various manufacturers can be enhanced with smart capabilities through the use of sensor technologies. This advancement enables users to receive immediate insights from the data collected, allowing for maintenance only when absolutely necessary. In addition to quicker device recovery, the insights gained can help streamline processes, decrease expenses, and enhance energy efficiency. By employing both outdoor and indoor tracking methods, one can accurately identify the locations of individuals or items through sensors and various wireless technologies such as cellular networks, Wi-Fi, ultra-wideband, or Bluetooth. The range of applications is wide, including security enhancements in office environments and elevating customer experiences in retail settings. The advantages of these technologies encompass better utilization of workspaces, quicker responses during emergencies, and improved management of work processes. The market for these innovations is expanding, though the associated complexities are often overstated. Furthermore, smart facility management represents a contemporary strategy aimed at optimizing the organization and functionality of buildings, ultimately leading to increased efficiency and effectiveness in operations.
Description
The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights:
1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems.
2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure.
3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
4. 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.
5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own
7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour
8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Kinesis
No
Amazon Web Services (AWS)
No
Apache Kafka
No
Cogent DataHub
No
Docker
No
Google Cloud Pub/Sub
No
InfluxDB
No
Kubernetes
No
Microsoft Azure
No
MongoDB Atlas
No
Integrations
Amazon Kinesis
Yes
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Cogent DataHub
Yes
Docker
Yes
Google Cloud Pub/Sub
Yes
InfluxDB
Yes
Kubernetes
Yes
Microsoft Azure
Yes
MongoDB Atlas
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.34/hour
Please visit our pricing page for more information.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
DextraData
Founded
1995
Country
Germany
Website
www.dex7.io
Vendor Details
Company Name
HiveMQ
Founded
2012
Country
Germany
Website
www.hivemq.com
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
Message Queue
Asynchronous Communications Protocol
Yes
Data Error Reduction
No
Message Encryption
No
On-Premise Installation
Yes
Roles / Permissions
No
Storage / Retrieval / Deletion
No
System Decoupling
No