In this post I want to compare ClickHouse, Druid, and Pinot, the three open source data stores that run analytical queries over big volumes of data with interactive latencies. Warning: this post is pretty big, you may want to read just the “Summary” section in the end. Sources of InformationI learned the implementation details of ClickHouse from Alexey Zatelepin, one of the core developers. The be
One popular trend in the data world recently is the rise of stream analytics. Organizations are increasingly striving to build solutions that can provide immediate access to key business intelligence insights through real-time data exploration. Architecting a data stack to transmit, store, and analyze streams at scale can be a difficult engineering feat without the proper tools. Luckily, existing
Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets June 3rd, 2015 Fangjin Yang and MMX Engineering Team “Another flaw in the human character is that everybody wants to build and nobody wants to do maintenance.” – Kurt Vonnegut Every engineer loves the feeling of standing up a new piece of open source infrastructure, satisfaction born from a grueling journey through community forum
To make the best business and technical decisions, it is critical for Netflix to reliably collect application specific data in a timely fashion. At Netflix we deploy a fairly large number of AWS EC2 instances that host our web services and applications. They collectively emit more than 1.5 million events per second during peak hours, or around 80 billion events per day. The events could be log mes
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