Contextualize Overview

Contextualize is the area of the HiveMQ Platform console where you build and manage your Unified Namespace. Open Contextualize from the top navigation bar.

What Is a Unified Namespace?

A Unified Namespace is a single, standardized model for how data flows across devices, brokers, and AI agents. It gives every data consumer (analytics, applications, and AI agents) a shared structure, so they all read data the same way.

What You Can Do in Contextualize

Contextualize provides three areas:

  • Namespace: Define and manage the unified data model and topic structure for your organization.

  • Discovery: Discover data sources and surface what is currently flowing across your infrastructure.

  • Data Models: Manage the schemas that describe your data, ensuring consistent structure for downstream consumers.

Why Contextualize First?

When you standardize topic structures and schemas in Contextualize, everything downstream works with trustworthy, well-described data. This includes analytics in Analyze and AI agents in Act. Standardized data replaces raw, inconsistently shaped streams.

Contextualize sits on top of the brokers you manage in Connect. The brokers carry the raw MQTT traffic, and the Unified Namespace gives the traffic a shared structure.