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EMQX Tables

From MQTT Streams to
Actionable Insights. Instantly.

The fully-managed time-series database seamlessly integrated with EMQX Broker. Store, query, and visualize your IoT data with zero operational overhead.

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Tired of the Data Integration Maze?

Complex Architecture
Juggling between your MQTT broker and a separate database service increases complexity and maintenance overhead.
High TCO
Managing multiple vendors, separate bills, and complex security policies leads to a higher Total Cost of Ownership (TCO).
Delayed Time-to-Market
The extra work of evaluating, integrating, and maintaining a third-party data service slows down your project development.
Disconnected Experience
Constant context switching between different management consoles for your broker and database fragments your workflow.

Simplify Your IoT Stack, Instantly.

EMQX Tables eliminates the need for a separate database solution, providing a unified data flow from ingestion to query, all within one platform.

The Complex Approach

Complex approach architecture diagram
Multiple Vendors & Bills
Complex Network & Security
High Maintenance Overhead

One Platform, Endless Possibilities.

Seamless Integration
Ingest data directly from MQTT topics via rules or direct sinks. No code, no fuss.
Purpose-Built for IoT
High-ingestion writes and schema-on-the-fly perfectly handle the unstructured and evolving nature of IoT data streams.
Simplified Operations
As a fully-managed service, we handle the scaling, maintenance, and infrastructure, so you can focus on your data.
Reduced TCO
A single vendor means a single bill. Optimize costs with time-based data retention and downsampling policies.
Powerful Query & Integration
Use SQL, PromQL, or the InfluxDB Line Protocol. Natively connect with Grafana, Metabase, and other BI tools for powerful visualization.
Unified Experience
Manage your broker and database from the same control plane with a unified security model.

Get Started in 3 Simple Steps.

Ingest
Publish device telemetry to EMQX topics. Select topics in Rule Engine.
Store
Use the Rule Engine or a direct data sink to specify which MQTT topics should be persisted. The schema is inferred automatically.
Query & Visualize
Connect your favorite tools (like Grafana) or use SQL to immediately query and analyze your time-series data.
Step 2 of 0

Unlock Your IoT Data Potential.

Real-time Device Monitoring
Build dashboards to track the status and performance of your entire fleet of IoT devices in real-time.
Industrial IoT (IIoT) Analytics
Analyze sensor data from production lines to predict maintenance needs and optimize operational efficiency.
Connected Vehicle Telemetry
Ingest and query massive volumes of location, speed, and diagnostics data from connected vehicles for fleet management and user behavior analysis.

Works with Your Favorite Tools

Protocols

InfluxDB
InfluxDB Line Protocol
PromQL

SQL Client & Driver

PostgreSQL
MySQL
MindsDB
DBeaver

BI Tool

Metabase

Data Visualization Tool

Grafana
Streamlit

Ready to Simplify Your IoT Data Architecture?

Be the first to experience the power of a truly integrated time-series data service.

Talk to an Expert

Frequently Asked Questions