Now in private preview, HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
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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)
HiveMQ Pulse is a real-time distributed data intelligence platform that provides insights at the source, precisely where they have the most impact.
Show Me HowEnsure data consistency by cataloging, transforming, 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 integrating a calculation engine and AI/ML models at the edge for enhanced predictions and optimized workflows.
Deliver complete, reliable data from edge to cloud for seamless AI integration. Govern and contextualize data at the source to improve model accuracy and accelerate insights.
HiveMQ Pulse is a next-generation distributed data intelligence platform that transforms unstructured data into actionable insights. It unifies data from edge to cloud within a structured namespace, delivering high-throughput, contextualized insights precisely where they have the most impact. Unlike proprietary Industrial Data Ops or traditional data analytics platforms that rely on data warehouses and batch processing, HiveMQ Pulse enables in-flight data transformation, AI/ML integration, and seamless OT-IT connectivity.
Manages information models, authorizes Agents, and orchestrates queries. Scalable for policy enforcement, high-throughput processing, and seamless OT-IT integration.
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.
Secure web app for managing data models, policies, and queries. Supports UNS modeling, structured data interaction, and simple dashboards for actionable insights.
Manage, transform, govern, and derive insights from distributed devices and systems with a single view of operational data across the enterprise.
Historical Analysis: Make decisions rapidly with the ability to store and analyze specific data sets where they are generated.
UNS Data Catalog: Organize and standardize data into a consistent, queryable structure accessible across the enterprise.
Real-time Events: Leverage an enterprise-grade MQTT backbone for scalable, event-driven data streaming from edge to cloud.
IoT Streaming Governance: Transform data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
Choose between a fully-managed cloud or self-managed platform. Our experts can help you with your solution and demonstrate HiveMQ in action.