HiveMQ is the enterprise MQTT platform that lays a powerful foundation for Industry 4.0. It solves data connectivity and interoperability challenges across a variety of manufacturing industries, including automotive, chemical, food and beverage, and pharmaceutical.
For manufacturers, staying ahead of the curve is the key to maintaining competitiveness and maximizing productivity. Manufacturers are leveraging advanced technologies like these to drive innovation and streamline production:
A data fabric approach, such as the Unified Namespace, is the central hub for real-time industrial data, ensuring seamless communication between systems. This digital transformation ensures all assets and processes have access to a single source of truth, helping manufacturers optimize workflows and achieve greater operational visibility.
AI and robotic process automation (RPA) transform manufacturing operations by automating repetitive tasks, enhancing compliance through improved precision, and optimizing resource allocation. These technologies enable lean manufacturing by cutting down unnecessary processes and driving cost-effective, high-quality production.
The rise of Industrial IoT (IIoT) has created fully connected, data-driven factories. Using automation and real-time analytics, manufacturers can optimize production, manage workflows more efficiently, and enhance decision-making. Adopting a UNS ensures seamless data flow, empowering more innovative and agile processes.
Digital twins are virtual models of physical assets or systems that allow manufacturers to simulate and optimize production processes in a virtual environment. By analyzing real-time data and running simulations, manufacturers can predict and resolve issues before they occur, significantly enhancing efficiency and reducing costs.
Unified Namespace (UNS) is an innovative approach that gathers data from various industrial IoT (IIoT) systems, adds context, and transforms it into a format that other systems can easily understand.
Efficient data collection, communication, and control are key for smart manufacturing. MQTT is a lightweight and efficient protocol, which ensures real-time data exchange with minimal bandwidth consumption, critical for monitoring and controlling industrial assets and processes.
MQTT minimizes latency, enabling near-instantaneous communication and efficient real-time data exchange between devices.
The event-driven nature of MQTT ensures data is transmitted as events occur instead of at fixed intervals, leading to better decision-making.
Coupled with UNS, MQTT can aggregate data from various sources, including legacy systems and modern IoT devices, into a unified platform.
MQTT is well-suited for the edge, reducing latency and bandwidth usage, and allowing for faster, real-time decision-making on the factory floor.
MQTT ensures reliable message delivery with different Quality of Service (QoS) levels, making it suitable for critical industrial applications.
MQTT incorporates robust security features including encryption, access control, and authentication to protect manufacturing data.
MQTT's lightweight design and publish/subscribe model make it highly efficient for environments with limited bandwidth.
MQTT's efficient data transmission methods help reduce the energy consumption of resource-constrained sensors and devices.
MQTT is protocol-agnostic and works with various communication protocols, for seamless integration across diverse systems and devices.
Manufacturers deal with supply chain disruptions, downtime, quality control issues, and regulatory controls, which affect product speed to market. To overcome these challenges, manufacturing embraces digital technologies like Industry 4.0 and Industrial IoT (IIoT) for these outcomes:
Automate processes and use data analytics to improve efficiency across manufacturing lines and locations.
Apply real-time monitoring and analytics to quickly identify and fix issues before they negatively affect quality.
Use digital technologies to be more agile and quickly identify and recover from costly mistakes or unsuccessful endeavors.
Understand Mean Time to Repair and Mean Time Between Failures to track the reliability and maintainability of equipment.
HiveMQ solves the challenges of data collection and movement in manufacturing by adding a reliable, scalable and secure data abstraction layer between OT and IT systems that enables heterogeneous machines and processes to work together seamlessly even in constrained environments. The key benefits are:
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
Focus on your core business instead of using developer resources with data integration into enterprise applications and infrastructure like Apache Kafka.
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Achieve rapid time-to-value with a platform that is flexible enough to deploy on-premise, in any cloud, or via the fully-managed and feature-rich HiveMQ Cloud offering.
HiveMQ prices its offerings based on the value you derive, not on speed and feeds. There is no need to count messages or integrations, rather we align to specific business goals and outcomes. Specifically, we offer pricing based on:
Request QuoteHow many plants or locations do you need to support and over what time period?
How many devices and protocol types need to be supported per plant?
Do you need us to run the software for you, or will you self-manage the deployment? What is the relationship between plants and headquarters?
Are you looking for a multi-year deal or to renew each year?
Join our UNS Panel Discussion with Partner Mayker. In this interactive panel, we will share insights and best practice tips for UNS deployments. Get the chance to see real-world use cases from companies in Automotive, Food & Bev, and other industries.
Learn how HiveMQ MQTT platform and Snowflake together can enable manufacturers to harness the full potential of their IIoT data for operational insights.
Explore how HiveMQ's Sparkplug Module removes data bottlenecks, enforces compliance, & streamlines real-time IIoT data handling for a robust data pipeline.
Learn how real-time Digital Twins transform industrial processes, enhance decision-making, and leverage Industry 4.0 technologies for smarter data-driven insights and outcomes.
Discover how Lumo (https://lumo.ag) revolutionized smart agriculture to save growers time, money, and water by leveraging MQTT and HiveMQ.
A webinar about how solid data management is crucial for AI success in Manufacturing. Gain insights for optimizing your data infrastructure.
Choose between a fully-managed cloud or self-managed MQTT platform. Our MQTT experts can help you with your solution and demonstrate HiveMQ in action.