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What is IBM Watson IoT?

The Internet of Things (IoT) represents a vast network of billions of interconnected physical devices around the world that continuously collect and exchange data. By harnessing IoT data in conjunction with IBM Cloud® technologies, businesses can uncover valuable insights that improve nearly every aspect of their operations and foster the development of cutting-edge business models. Start by connecting your device to an IBM Cloud recipe, using open and lightweight protocols such as MQTT or HTTP for efficient connectivity. Effective management of these connected devices enables applications to access both current and past data seamlessly. Secure APIs play a crucial role in allowing your applications to integrate smoothly with the data produced by these devices, promoting effortless interaction. You have the flexibility to build analytical applications either in the IBM Cloud, on another cloud service, or on your own infrastructure. The IBM Watson IoT® Platform offers a user-friendly approach to quickly connect, collect, and process IoT data. Furthermore, the analytics service can be utilized for powerful visualization and AI-driven analytics in the cloud, resulting in better decision-making and enhanced operational efficiency. This holistic integration not only revolutionizes the way businesses function but also significantly enhances their ability to create value within the digital economy. Ultimately, the transformation brought about by IoT and cloud technologies is reshaping industries and driving innovation at an unprecedented pace.

What is HiveMQ?

HiveMQ stands out as the most trusted MQTT platform for enterprises, designed specifically to facilitate connections through MQTT, ensure dependable communication, and manage IoT data effectively. Its versatility allows for deployment in various environments, whether on-premise or in the cloud, granting developers the adaptability they require as their IoT projects expand. Known for its reliability even under challenging conditions, HiveMQ scales effortlessly and incorporates enterprise-level security features that cater to organizations at any phase of their digital transformation journey. Furthermore, this flexible platform enables smooth integration with top data streaming services, databases, and analytics tools, while also providing a customizable SDK to seamlessly integrate into any technological ecosystem. As IoT demands continue to evolve, HiveMQ remains a pivotal resource for businesses aiming to leverage cutting-edge technology.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
AtomicJar
Google Cloud Platform
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
InfluxDB
Kubernetes
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
AtomicJar
Google Cloud Platform
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
InfluxDB
Kubernetes
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/internet-of-things

Company Facts

Organization Name

HiveMQ

Date Founded

2012

Company Location

Germany

Company Website

www.hivemq.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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

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