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What is Red Hat Integration?

Red Hat® Integration provides a comprehensive collection of integration and messaging tools aimed at connecting applications and data across hybrid environments. Its features include agility, distribution, containerization, and a focus on APIs, ensuring a modern and effective integration process. The solution supports service composition and orchestration, facilitates application connectivity, allows for data transformation, offers real-time message streaming, enables change data capture, and provides extensive API management, all within a cloud-native context that meets the diverse needs of today’s application development landscape. Users can leverage over 200 pluggable connectors to implement enterprise integration patterns (EIPs), successfully linking both legacy and new data sources in hybrid cloud setups. Additionally, this platform allows for the creation, deployment, monitoring, and governance of APIs throughout their entire lifecycle, making it easier to manage integrations. By prioritizing an API-first approach, it supports seamless integration across hybrid and multi-cloud architectures. Moreover, services can be built and managed using established container standards, with lightweight containers being efficiently packaged and deployed in distributed environments, promoting both flexibility and scalability. This well-rounded strategy not only boosts operational efficiency but also significantly reduces the time required to bring applications to market, ultimately improving business agility and responsiveness. As organizations increasingly seek to enhance their integration capabilities, Red Hat® Integration emerges as a pivotal solution to meet these evolving demands.

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
Google Cloud Platform
Microsoft Azure
3scale
AtomicJar
InfluxDB
Kubernetes
OpenStack
Red Hat AMQ
Red Hat OpenShift
Red Hat Runtimes

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
Google Cloud Platform
Microsoft Azure
3scale
AtomicJar
InfluxDB
Kubernetes
OpenStack
Red Hat AMQ
Red Hat OpenShift
Red Hat Runtimes

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

Red Hat

Company Location

United States

Company Website

www.redhat.com/en/products/integration

Company Facts

Organization Name

HiveMQ

Date Founded

2012

Company Location

Germany

Company Website

www.hivemq.com

Categories and Features

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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