Poor data quality costs organizations millions each year, increasing complexity and hindering decisions (Gartner)
0% Higher Revenue
Companies successfully operating in real-time environments outperform competitors (MIT)
0% Faster Decisions
Organizations utilizing live data insights improve their decision-making speed (Deloitte)
Why Real-time Distributed Data Intelligence?
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 Key Benefits
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:
Ensure data consistency by cataloging, enriching, and governing information in a unified namespace, enabling interoperability, standardization, and OT-IT integration.
Real-time Actionable Insights
Process and contextualize data in motion to reduce delays, improve efficiency, minimize downtime, and drive faster, data-driven decisions.
Distributed Intelligence
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.
AI-Ready
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
HiveMQ Pulse Technical Architecture
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.
Pulse Client
Secure graphical web app that interfaces with the Server to visualize, query, and manipulate the data models, provide dashboards, and facilitate interaction.
Pulse Server
Acts as an orchestrator, responsible for knowing where the data is, managing information models, authorizing agents, and orchestrating queries.
Pulse Agent
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.
HiveMQ Pulse Key Technical Capabilities
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.
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