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The short answer is **"no"**. The key-value workload is among top positions in the list of cases when **NOT** to use ClickHouse.

We can refer to systems like MapReduce as distributed computing systems in which the reduce operation is based on distributed sorting. The most common open-source solution in this class is Apache Hadoop.

Learn the recommended maximum limits for databases, tables, partitions, and parts in a ClickHouse cluster to ensure optimal performance.

OLAP stands for Online Analytical Processing. It is a broad term that can be looked at from two perspectives: technical and business.

First of all, let’s discuss why people ask this question in the first place. There are two key reasons...

ClickHouse is a generic data storage solution for OLAP workloads, while there are many specialized time-series database management systems.

Being an open-source product makes this question not so straightforward to answer. You do not have to tell anyone if you want to start using ClickHouse, you just go grab source code or pre-compiled packages.