Dec 16, 2025Join EMQ and GreptimeDB for a live session on EMQX Tables, the new fully managed time-series database service built directly into EMQX Cloud. EMQX Tables lets you store, query, and analyze MQTT data in place, without the overhead of external databases or integration glue.
You will hear directly from Benniu Ji, VP of Products at EMQ, and Ning Sun, CTO and Co-Founder of GreptimeDB, as they walk through how EMQX Tables is powered by GreptimeDB and how this partnership turns EMQX Cloud into a unified MQTT data platform that covers the full path from device connection to real-time insight.
As EMQX Tables transitions from public preview into general availability in December, this webinar is your guide to what it is, how it works, and where it fits in your architecture.
What We’ll Cover
From MQTT Broker to MQTT Data Platform
How EMQX Cloud is evolving from a managed MQTT broker into a complete MQTT data platform, and why native time-series storage is a key part of that shift for modern IoT and AI workloads.
Inside EMQX Tables, Powered by GreptimeDB
An architectural tour of EMQX Tables as a fully managed, built-in time-series database service in the EMQX Platform, powered by GreptimeDB for high-ingest, low-latency IoT data workloads.
Ingest, Store, Query, Visualize, All in One Place
How to create an EMQX Tables deployment, connect it to EMQX, and build a simple pipeline that streams MQTT telemetry into time-series storage, runs SQL and PromQL style queries, and feeds tools like Grafana and Metabase for dashboards.
Real-World IoT Use Cases
Examples of how customers can use EMQX Tables for industrial IoT analytics, connected vehicle telemetry, smart energy monitoring, and smart city applications, with a focus on reducing integration complexity and total cost of ownership.
Live Q&A
We will close with a live Q&A session with Benniu and Ning so you can explore your own use cases and ask questions directly.
Who Should Attend
IoT platform engineers, data architects, site reliability engineers, and product leaders who want to simplify the path from MQTT messages to analytics and AI.
You will leave with a clear understanding of when to reach for EMQX Tables, how it compares with standalone databases, and how the EMQ plus GreptimeDB partnership can simplify your path from MQTT messages to real-time analytics.
Speakers
Benniu Ji
VP of Products, EMQ
Ning Sun
CTO and Co-Founder, GreptimeDB
Webinar Details
Date:
Tuesday, December 16, 2025
Time:
- 10:00 a.m. Los Angeles (PT)
- 12:00 p.m. Chicago (CT)
- 1:00 p.m. New York (ET)
- 6:00 p.m. London (GMT)
This session is timed to support audiences in North America and Europe, and everyone is welcome. Our teams will be available live to answer your questions.
About GreptimeDB
GreptimeDB is an open source, cloud-native time-series and observability database designed for metrics, logs, traces, and real-time analytics. Built for OpenTelemetry and modern cloud environments, it delivers sub-second query performance at massive scale with flexible deployment options. GreptimeDB powers high-throughput workloads across edge, hybrid, and multi-cloud environments with a developer-friendly SQL and PromQL interface.
About EMQX Cloud
EMQX Cloud is a fully managed MQTT messaging and data infrastructure platform that helps enterprises connect, move, and process IoT data at scale. It provides a unified foundation for real-time device connectivity and time-series data analytics in the cloud.
At its core, EMQX Cloud offers two key services: EMQX Broker, a high-performance MQTT broker for large-scale message ingestion, and EMQX Tables, a built-in time-series database for storing, querying, and analyzing data in place. Together, they form a powerful, cloud-native platform for real-time IoT, AI, and data-driven applications.
With nearly 1,000 enterprise customers in over 60 countries and more than 250 million connected devices, EMQX powers mission-critical systems in manufacturing, automotive, energy, smart cities, and more.