Provide an interactive SQL editor that supports debugging and optimization of scripts to quickly build complex stream processing applications.
With the automatically-integrated stream data center as an input stream, the processing results are sent to the Data Compute for persistence.
Match data throughput according to jobs, and automatically expand or reduce resources required for running stream processing applications.
Traditional data warehouse solutions are based on off-line batch acquisition and analysis, and thus cannot achieve real-time data analysis. Based on Stream Compute, it can conveniently collect and analyze various streams in a real-time manner, and then in combination with BI report and other components, it can quickly build a real-time stream analysis application.
Reception, conversion, integration and filtration of stream data from sensors, intelligent terminals and other IoT devices that enable streaming processing of millions of messages per second.
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