What are the differences between ClickHouse and MySQL?

1. Storage architecture: ClickHouse is a column-oriented database, storing data in columns, making it suitable for analyzing and querying large-scale data. In contrast, MySQL is a relational database storing data in rows, making it suitable for OLTP (online transaction processing) scenarios.
2. Performance for queries: ClickHouse has better query performance and throughput when handling large scale data, particularly for complex analytical queries. On the other hand, MySQL performs better in query performance for OLTP scenarios.
3. Data processing capability: ClickHouse excels in analyzing large-scale data and supports fast aggregation, grouping, sorting, etc. MySQL, on the other hand, is better suited for transactional operations and supports ACID properties.
4. Scalability: ClickHouse has excellent horizontal scalability, allowing performance and storage capacity to be expanded by adding more nodes. MySQL also supports scalability through techniques such as master-slave replication and sharding.
5. Data consistency: MySQL supports transactions to ensure the consistency and integrity of data. ClickHouse, as a distributed database, may encounter issues with data latency and consistency.

In general, ClickHouse is more suitable for large-scale data analysis queries, while MySQL is more suitable for OLTP scenarios. The choice of database depends on specific business requirements and data processing methods.