Amazon Redshift, meanwhile, is closed-source and is built and maintained by a company that needs no introduction. ClickHouse is an open-source project developed by a relatively small startup. Unlike online transaction processing, or OLTP, databases, such as MySQL or Postgres, OLAP databases are designed to efficiently return aggregations of data.įrom a cultural point of view, the two products are wildly different. Redshift and ClickHouse are both online analytical processing, or OLAP, databases that can handle petabytes of data at impressive speeds. Certain optimizations from these could make query speeds even closer, but this comparison will speak more broadly on each product. While query speed on most databases are orders of magnitude slower than ClickHouse, Redshift is only 2-5x slower on a majority of queries.īoth have multiple configurations such as ClickHouse Cloud AWS, ClickHouse Cloud GCP, and Redshift's recent AQUA and AutoMV update. While ClickHouse is still faster, Redshift's infrastructure optimizations makes the comparison closer than usual. Most of those articles had the same gist – a tuned ClickHouse instance is faster by many orders of magnitude, but lacks some general-purpose features, making it unsuitable for certain use cases.ĬlickHouse with Amazon Redshift are the most comparable databases we've explored to date. We've written extensively comparing ClickHouse to other analytical databases, including Google BigQuery, Elastic, and Apache Druid.
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