Once I found the correct command (I was initially looking in the wrong place), it was fairly painless. I could also have run the Apache Pinot demo using Brew or launcher scripts.
The hybrid quick start example starts Apache Kafka, Apache ZooKeeper, Pinot controller, Pinot broker, and Pinot server, then creates an airlineStats schema, an airlineStats offline table, and an airlineStats real-time table that ingests messages from a Kafka topic. The data set had about 10K rows and almost 80 columns. The schema doesn’t seem to create any indexes. The screen shots below show some of the web pages.
Additional tutorials in the Apache Pinot getting started documentation show you how to create clusters, configure tables, ingest batch and streaming data, and configure indexes. You may also want to scan at least the titles of the Apache Pinot recipes, and try the Pizza Shop Demo, an analytic dashboard app.
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Good, fast analytics
Overall, Apache Pinot and StarTree Cloud offer good, fast analytics capabilities, enabling real-time analytics for customers as well as internal users. Apache Pinot’s major distinguishing features over other columnar analytic databases are its plug-in indexes, star-tree index, and ability to combine batch data with real-time data.