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Real-time IoT Data Analytics using EMQX and eKuiper

Real-time analytics solutions based on a lightweight streaming processing engine - eKuiper. Execute complex queries on MQTT streams with simple SQL statements to gain real-time insights, leverage data value, and make instant business decisions.

Real-time IoT Data  using EMQX and eKuiper

Capabilities

Stream Processing with Standard SQL

Stream Processing with Standard SQL

Leverage the power of standard SQL, including joins, subqueries, and more, for complex real-time stream processing.

Real-time Analytics Powered by eKuiper

Real-time Analytics Powered by eKuiper

Effectively manage large-scale complex materialized views using an advanced incremental computing engine.

Reliable, Low-latency Streaming Data Storage

Reliable, Low-latency Streaming Data Storage

Distributed storage, specially optimized for large-scale streaming data and reliable persistence based on Paxos.

Effortlessly Manage Millions of Streams

Effortlessly Manage Millions of Streams

Efficiently create, manipulate, and oversee millions of streams, maintaining stable latency and throughput even with substantial concurrent reads and writes.

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Benefits

Unlock Real-time Value of data-in-motion


Get insights from high-velocity streaming data quickly and continuously.

All-in-One Streaming Data Solution


An innovative streaming database resolves all your real-time data challenges.

Simple and Powerful Interfaces: SQL and Stream


Apply the tools and concepts you know best: SQL and Streaming.

Unlimited Scaling and Fault Tolerance


Automatic scaling and error recovery built on cloud-native architecture.

Ready to Get Started?