Real-Time Analytics
Real-time database for real-time data warehousing, customer-facing and agent-facing analytics
Lakehouse Analytics
The fastest lakehouse SQL engine, replacing Trino/Presto, SparkSQL
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
VeloDB for AI
The AI-Ready analytics database for the AI era

EMQX is a high-performance MQTT broker built for connected devices and industrial IoT. Pair it with VeloDB and every telemetry message — from millions of devices — becomes a queryable row in seconds, ready for dashboards, alerts, and AI workloads.
EMQX handles massive concurrent MQTT connections with low latency, supporting MQTT 5.0, QoS guarantees, rule-based routing, and bridges to data systems. It is widely used across automotive, manufacturing, energy, and smart city deployments.
EMQX terminates millions of concurrent MQTT connections; VeloDB ingests the curated streams and serves SQL with sub-second latency.
Use EMQX rules to filter, transform, and enrich messages before they land in VeloDB — keep the warehouse clean and query-ready.
Both speak open standards — MQTT and SQL — so your stack stays portable and your team works with familiar tools.
EMQX handles message volume efficiently; VeloDB’s columnar engine and tiered storage keep cost-per-query low even at multi-terabyte history.
Stream sensor and event data from vehicles into VeloDB and run live fleet, anomaly, and predictive analytics.
Aggregate signals from factory floors and field equipment; query rollups and alerts in real time.
Land grid, metering, and environmental data in VeloDB for sub-second dashboards and operational decisions.
Tell us about your stack and use case. Our team will help you stand up VeloDB with EMQX for your environment.