Unlocking the power duo: Kafka and ClickHouse for lightning-fast data processing

The article discusses how Kafka and ClickHouse can be used together for real-time data processing. It explains that while writing directly into ClickHouse is not efficient due to its preference for controlled speed and parallelism, introducing a buffer like Kafka can help manage this issue. The author then explores different methods of implementing the connection between Kafka and ClickHouse, including using ClickHouse's built-in Kafka engine, Kafka Connect, external writer via DoubleCloud Data Transfer or ClickPipes, and how to choose the right path based on specific needs.