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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 CoreDX DDS?

CoreDX DDS is an intuitive, cross-platform library designed for Inter-Process Communication (IPC) that supports multiple programming languages. With its remarkable performance characterized by minimal overhead and low latency, it is particularly well-suited for real-time control and capable of handling high message throughput for large-scale data transfers. The library facilitates secure, resilient, and dynamic data exchange, allowing for adaptable communication solutions. Built upon open standards, CoreDX DDS ensures interoperability and long-term sustainability, making it the preferred IPC choice for a wide variety of distributed software applications, such as mobile gaming, consumer electronics, medical devices, advanced Department of Defense systems, and robots operating in space environments. Developers value CoreDX DDS not only for its ease of use but also for its extensive feature set, many of which are difficult to replicate manually and are not available in other IPC libraries. The library includes essential functionalities like built-in end-to-end security, data filtering and storage, data presentation, and event notification options, enabling developers to focus on their core application development without being hindered by complex communication challenges. As a result, CoreDX DDS stands out as a practical and invaluable asset that significantly boosts productivity in software development projects. Furthermore, its adaptability across various domains highlights its versatility and effectiveness in meeting diverse communication needs.

Media

Media

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Snowflake
VxWorks

Integrations Supported

Amazon Kinesis
Amazon Web Services (AWS)
Apache Kafka
Cogent DataHub
Docker
Google Cloud Pub/Sub
InfluxDB
Kubernetes
Microsoft Azure
MongoDB Atlas
MySQL
Snowflake
VxWorks

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

Twin Oaks Computing

Date Founded

2005

Company Location

United States

Company Website

www.twinoakscomputing.com/coredx

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

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