PipelineDB is built to run SQL queries continuously on streaming data. The output of these continuous queries is stored in regular tables which can be queried like any other table or view. Thus continuous queries can be thought of as very high-throughput, incrementally updated materialized views. As with any data processing system, PipelineDB is built to shine under particular workloads, and simply not intended for others.
我的理解就是row base 的trigger，数据可以不停的增量更新，而不用批量去跑。而且传统的流处理都需要写程序，PipelineDB的方便之处是流的处理可以使用SQL语句，这个对我这种传统的BI人员很方便。