Coming in October, HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
Poor data quality costs organizations millions each year, increasing complexity and hindering decisions (Gartner)
Companies successfully operating in real-time environments outperform competitors (MIT)
Organizations utilizing live data insights improve their decision-making speed (Deloitte)
Organizations are generating more operational data than ever, but to drive real business impact, they need to extract value quickly and make that data AI-ready.
Why Real-time: Decisions need to happen the moment events occur, not hours or days later. Delayed insights are missed opportunities.
Why Distributed: We live in a distributed world, data is created everywhere, from edge devices to factories to cloud systems. Instead of moving everything to a centralized cloud, extract insights where the data lives.
Why Intelligence: Raw data isn’t enough. You need intelligence layered on top to deliver operational insights that inform action, unlock efficiency, and enable better business outcomes.
HiveMQ Pulse is a real-time distributed data intelligence platform that provides insights at the source, precisely where they have the most impact. Here's what you’ll unlock with the general availability release coming soon:
Read Data Sheet
Ensure data consistency by cataloging, enriching, and governing information in a unified namespace, enabling interoperability, standardization, and OT-IT integration.
Process and contextualize data in motion to reduce delays, improve efficiency, minimize downtime, and drive faster, data-driven decisions.
Reduce latency and enable real-time automation by running calculations at the edge and integrating with AI/ML systems for improved insights and optimized workflows.
Deliver reliable, contextualized data from edge to cloud to improve AI/ML accuracy and accelerate insights, with source-level governance and validation.
As UNS evolves it will drive deeper integration, smarter operations,and significant innovation across industrial ecosystems.
Anand Taparia
/Principal Analyst, IoT Analytics
With a flexible architecture uniquely suited to support a Unified Namespace (UNS) approach, HiveMQ Pulse allows you to build, govern, and derive insights from distributed devices and systems, providing a single, structured view of operational data across the enterprise.
Secure graphical web app that interfaces with the Server to visualize, query, and manipulate the data models, provide dashboards, and facilitate interaction.
Acts as an orchestrator, responsible for knowing where the data is, managing information models, authorizing agents, and orchestrating queries.
Indexes and processes edge data with a distributed calculation engine. Filters, historicizes, and governs in-flight messages while enabling real-time queries and compute tasks.
Unified Namespace Design and Data Catalog: Define and organize a structured, queryable Unified Namespace. Use the data catalog to standardize and expose models across OT and IT systems.
Contextual Data Mapping and Governance: Map raw data to structured models, enrich it with context, and enforce governance to ensure data quality and consistency.
Built-in Insights from Data: Derive insights with a set of pre-built calculations including OEE and MTBF.
Historical Context: Retain short-term historical data at the source for local insights.
Want to experience the power of HiveMQ Pulse? Sign up to join the waitlist for general availability coming in October. We'll reach out to provide more information about how HiveMQ can help you turn data into actionable insights.
In this exclusive session, Walker joins HiveMQ to explore how Pulse is redefining the Unified Namespace - not just as a concept, but as a scalable system for structured, governed, and real-time data across OT and IT.
AI demands real-time, contextual data. Centralization fails—distribution wins. Download the whitepaper to see why.
Meet HiveMQ at ICC 2025 in Sacramento! Discover how HiveMQ Pulse integrates with the Ignition ecosystem for seamless, real-time edge-to-cloud streaming.
Stop wasteful data shuttling. Analyze at the edge to cut energy use, shrink cloud costs, and turn local insights into faster, greener sustainability wins.
Overcome data chaos in smart manufacturing with real-time data intelligence. Discover how HiveMQ’s Pulse and UNS drive agility, insights, and efficiency.
In this webinar, we show you how MQTT and a Unified Namespace (UNS) create a foundation for Distributed Data Intelligence—a next-generation approach that enables smarter, faster decisions across your industrial enterprise.
Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.
