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Building an AI-Ready Industrial Architecture with the Intelligent Edge →
Smart Data Hub

Master Your MQTT Data Quality

Ensure reliable IoT data streams with real-time schema validation, message transformation, and centralized governance.

Capabilities

Complete Data Quality Toolkit

Everything you need to validate, transform, and manage your MQTT data streams.

1{
2 "$schema": "http://json-schema.org/draft-06/schema#",
3 "type": "object",
4 "properties": {
5 "device_id": { "type": "string" },
6 "temperature": { "type": "number" },
7 "humidity": { "type": "number" }
8 },
9 "required": ["device_id", "temperature"]
10}
Schema defines data structure and constraints
Active

Create, modify, and manage data schemas to ensure consistency in data formats. Support for JSON Schema, Avro, Protobuf, and External HTTP schemas.

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How It Works

From Raw Data to Validated Insights

Three simple steps to ensure data quality across your entire MQTT infrastructure.

Step 1

Define Your Schemas

Create schemas in JSON Schema, Avro, or Protobuf formats using the visual Schema Registry. Define the structure, data types, and constraints for your MQTT payloads.

Step 2

Configure Validation Rules

Set up validation rules that match specific topics or topic filters. Choose validation strategies (all pass or any pass) and configure failure actions.

Step 3

Set Up Transformations

Create transformation pipelines that convert message formats, modify properties, and enrich payloads. Preview and test transformations before deployment.

IoT Devices
Sensors
Vehicles
Industrial
Mobile

EMQX Platform

Smart Data Hub

Schema Validate Transform

Validated Output

Rule Engine
Subscribers
Data Integration
Analytics
Benefits

Why EMQX Smart Data Hub?

Ensure data quality, simplify development, and protect your systems with intelligent MQTT data management.

Data Integrity

Validate structure and format of every MQTT message to ensure consistency and correctness.

Security Shield

Prevent malicious or malformed messages from being processed, reducing vulnerabilities.

Unified Data Model

Enforce a single data model across your entire team and project.

Simplified Development

Reuse and share schemas across teams, reducing repetitive work.

Resources

Learn More About Smart Data Hub

Ready to Take Control of Your Data Quality?