EMQ, the global leader in open-source MQTT messaging and IoT data infrastructure, has announced the Preview launch of EMQX Tables, a fully managed time-series database natively integrated into its EMQX Cloud service. This new feature represents a significant evolution, enabling developers to store, query, and analyze MQTT data directly within the platform. This innovation eliminates the traditional need for external databases and complex integration layers, streamlining the entire IoT data lifecycle.
EMQ has launched a preview of EMQX Tables, a managed time-series database within EMQX Cloud.
The feature allows developers to store and query MQTT data in-place, removing the need for external databases.
It offers zero-configuration data ingestion with automatic schema inference from MQTT topics.
Data can be queried using SQL, PromQL, or InfluxDB Line Protocol for broad tool compatibility.
The integration simplifies architecture, reduces operational overhead, and lowers the total cost of ownership.
This marks EMQ's evolution from an MQTT broker into a unified MQTT Data Platform.
EMQX Tables directly addresses the complexity of modern IoT systems, which generate massive volumes of telemetry data. Traditionally, this required separate databases like InfluxDB or TimescaleDB, connected via complex middleware. EMQX Tables eliminates this fragmentation with a fully managed, cloud-native solution. It features zero-configuration data ingestion that automatically adapts to evolving data payloads and supports multi-protocol querying for seamless connection to tools like Grafana. By consolidating data ingestion and storage within a single environment, organizations simplify operations and minimize data transfer costs.
The new capability is designed to deliver immediate value across a wide range of industries. It simplifies data management for industrial IoT analytics, enabling real-time monitoring of production lines for predictive maintenance. In connected vehicles, it allows for the collection and analysis of telemetry data like diagnostics and battery performance at scale. Additional key use cases include smart energy and utilities for tracking grid stability and renewable performance, as well as smart cities for analyzing sensor data from environmental monitoring and infrastructure management.
This launch is a fundamental step in reimagining IoT architecture. By integrating time-series storage directly into its cloud platform, EMQ provides a unified solution that manages the complete journey from device connection to actionable insight. This approach prioritizes developer productivity, accelerates time-to-market, and reduces the operational overhead traditionally associated with building and maintaining a fragmented IoT data stack.
EMQ is a leading provider of open-source and cloud-native MQTT messaging solutions for the IoT and AI era. Its flagship product, EMQX, is the world's most scalable and reliable MQTT platform, trusted by over 20,000 global users across industries including industrial IoT, connected vehicles, and energy.
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