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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 Amazon MQ?

Amazon MQ is a managed message broker service in the cloud, specifically tailored for Apache ActiveMQ, which streamlines the setup and management of message brokers. It allows for smooth communication and data sharing between diverse software systems that may run on various platforms and employ different programming languages. By taking care of the provisioning, configuration, and continuous upkeep of ActiveMQ, Amazon MQ significantly reduces the operational workload for users. The service integrates seamlessly with existing applications by utilizing commonly accepted APIs and messaging protocols, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This commitment to industry standards generally facilitates an easy transition to AWS without needing significant changes to current messaging code. Users can quickly provision their message broker through a few clicks in the Amazon MQ Console, gaining access to version updates and ensuring they always use the latest version supported by Amazon MQ. Once the broker is set up, applications are primed to efficiently produce and consume messages as necessary, fostering a strong messaging environment. The combination of user-friendliness and high efficiency makes Amazon MQ an attractive option for organizations aiming to bolster their messaging capabilities in the cloud. Moreover, the flexibility and reliability of the service empower businesses to focus more on innovation and less on infrastructure management.

Media

Media

Integrations Supported

AWS App Mesh
AWS CloudFormation
Amazon CloudWatch
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Datasaur
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
New Relic
Snowflake

Integrations Supported

AWS App Mesh
AWS CloudFormation
Amazon CloudWatch
Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Datasaur
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
New Relic
Snowflake

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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/amazon-mq/

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

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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