EMQX Tables chose GreptimeDB as its underlying engine to help users store, query, and analyze massive IoT time-series data with high performance, flexible scalability, and lower operational complexity.
GreptimeDB is designed with a cloud-native architecture that separates compute and storage, using object storage as the primary layer together with columnar storage, compression, and multi-level caching. This enables EMQX Tables to support high-throughput IoT data ingestion, long-term data retention, and significantly lower storage costs compared with traditional time-series database architectures.
With GreptimeDB’s distributed architecture, EMQX Tables can scale from standalone deployments to active-active failover and distributed clusters without changing the user’s data pipeline, queries, or dashboards. By combining EMQX’s real-time MQTT data connectivity with GreptimeDB’s observability and time-series data capabilities, the collaboration helps customers build scalable, cost-efficient, and cloud-native IoT data infrastructure.