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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 

Screenshots View All

Screenshots View All

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 
MySQL No 
Snowflake No 
hopit Manufacturing 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 
MySQL Yes 
Snowflake Yes 
hopit Manufacturing 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 

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