ClickHouse SQL extensions, arrays, in particular, allow it to solve the business use case up to 100 times more efficiently than Redshift at 1/6th the cost. We know that ClickHouse is fast, but we were a bit surprised by these research results.
Being that it has been roughly three years since we last compared ClickHouse to Amazon Redshift, we thought it was time for an update. Using the same popular benchmarking dataset of NYC taxi trips data over multiple years, current size is 1.3 billion rows.
Jan 25, 2019
FunCorp is an international developer of entertaining Apps. The most popular is iFunny – a fun picture and GIF app that lets users to pass the time looking at memes, comics, funny pictures, cat GIFs, etc. Plus, users can even upload their own content and share it. The iFunny app has been using Redshift for quite some time as a database for events in backend services and mobile apps. We went with them because in the beginning there really weren’t any alternatives comparable in terms of cost and convenience. However, the public release of ClickHouse was a real game changer. We studied it inside and out, compared the cost and possible architecture, and this summer finally decided to try it out and see if we could use it. This article is all about the challenge Redshift had been helping us solve and how we migrated this solution to ClickHouse.
