User scenarios
It can be run at various IoT edge use scenarios:
Real-time processing of production line data in the IIoT
Gateway of Connected Vehicle analyze the data from data-bus in real time
Real-time analysis of urban facility data in smart city scenarios
eKuiper processing at the edge can reduce system response latency, save network bandwidth and storage costs, and improve system security.
Features
- Lightweight
- Core server package is only about 4.5M, initial memory footprint is about 10MB
- Cross-platform
- CPU Arch：X86 AMD * 32, X86 AMD * 64; ARM * 32, ARM * 64; PPC
- The popular Linux distributions, OpenWrt Linux, MacOS and Docker
- Industrial PC, Raspberry Pi, industrial gateway, home gateway, MEC edge cloud server
- Data analysis support
- Support data extract, transform and filter through SQL
- Data order, group, aggregation and join
- 60+ functions, includes mathematical, string, aggregate and hash etc
- 4 time windows & count window
- Highly extensibile
Plugin system is provided, and it supports to extend at Source, SQL functions and Sink.- Source: embedded support for MQTT, and provide extension points for sources
- Sink: embedded support for MQTT and HTTP, and provide extension points for sinks
- UDF functions: embedded support for 60+ functions, and provide extension points for SQL functions
- Management
- A web based management dashboard for nodes, plugins, streams & rules management
- Plugins, streams and rules management through CLI & REST API
- Easily be integrate with KubeEdge, K3s and Baetyl, which bases Kubernetes
- Integration with EMQ X Edge
Seamless integration with EMQ X Neuron & EMQ X Edge, and provided an end to end solution from messaging to analytics.
To learn more about eKuiper, visit: