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.
Capabilities
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
Effectively manage large-scale complex materialized views using an advanced incremental computing engine.
Reliable, Low-latency Streaming Data Storage
Distributed storage, specially optimized for large-scale streaming data and reliable persistence based on Paxos.
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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.
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.
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