ClickHouse® is famous for real-time response, cost-efficiency, and flexible Apache 2.0 licensing. In the first half of this talk, we’ll show how ClickHouse® implements sub-second analytics with columnar storage, vectorized query, and compression on datasets running to hundreds of terabytes. We’ll then pivot and discuss how Altinity is adapting open source ClickHouse® to deliver economical, real-time response over 100 Petabytes of data or more.

Summary The market for data warehouse platforms is large and varied, with options for every use case. ClickHouse is an open source, column-oriented database engine built for interactive analytics with linear scalability. In this episode Robert Hodges and Alexander Zaitsev explain how it is architected to provide these features, the various unique capabilities that it provides, and how to run it in production. It was interesting to learn about some of the custom data types and performance optimizations that are included.

Announcements

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Interview

Introduction How did you get involved in the area of data management? Can you start by explaining what Clickhouse is and how you each got involved with it?

What are the primary use cases that Clickhouse is targeting? Where does it fit in the database market and how does it compare to other column stores, both open source and commercial?

Can you describe how Clickhouse is architected? Can you talk through the lifecycle of a given record or set of records from when they first get inserted into Clickhouse, through the engine an