Easy to Use
You can edit StreamSQL statements to define the data input, output, and processing. Business logics are implemented quickly, facilitating streaming data analysis.
Support of Exclusive Clusters
You can run your jobs in a shared cluster or exclusive cluster. Exclusive clusters are physically isolated from shared clusters and other tenants' clusters. You can also manage the quota of exclusive clusters.
Pay per Use
The service is priced based on the used SPU resources and the service duration (by second). An SPU contains one core and 4 GB memory.
High Throughput, Low Latency
The Dataflow model of Apache Flink is leveraged to achieve a real-time computing framework.
Real-time Stream Analysis
Real-time stream analysis features ease of use, low latency, and high throughput. It can be achieved based on StreamSQL and user-defined jobs.
Supports online StreamSQL statement editing and provides abundant SQL functions to meet complex service requirements.
Computing clusters are fully hosted by CS, enabling you to focus on stream analysis.
SPU resources specified during job creation are charged by duration (by second).
IoT or edge devices upload data to DIS. CS reads data from DIS, analyzes data (including fault detection and counter warning), and makes the analysis result persistent or reports alarms in real time.
Provides common IoT functions such as area, yaw, and distance detection functions.
Leverages Apache Flink to achieve a complete real-time computing framework.
Isolates tenants from each other to ensure data security.
Aggregate functions, such as window and join, are supported, and SQL is used to express business logics.
CS supports the backpressure mechanism, high throughput, and millisecond-level latency.
Adopts multiple streaming machine learning methods to analyze and predict data in real time. You only need to compile SQL statements to call related functions for data statistics, anomaly detection, real-time clustering, and time series analysis.
Offers geographic location analysis functions to analyze geospatial data in real time, enabling you to fulfill yaw detection and geo-fencing using SQL statements.
Provides Match Recognize-based pattern matching and detection to assist business personnel in anomaly detection based on complex event rules. You can apply this function in various scenarios, such as fraud detection, abnormal vehicle behavior detection, and abnormal running status detection of industrial devices.
Works with charts of various types to display job output data in real time. You can directly use API Gateway to access job data as well as customize data to be visualized.