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Kafka Streaming
Kafka is one of the most popular connectors for ClickHouse because it naturally separates data collection from processing. However, you still need to deal with ClickHouse's part explosion problem and manage infrastructure. Use managed connectors instead of the Kafka engine to handle buffering, backpressure, part optimization, and infrastructure management automatically.
Why Kafka?
Kafka is one of the most popular connectors because it naturally separates data collection from processing. It provides durability, scalability, and reliability, making it ideal for event-driven architectures.
The ClickHouse Challenge
But still, you have to deal with the ClickHouse challenge. Remember that part explosion problem. You have many partitions with many consumers, and with small and frequent inserts, you're going to have the part explosion problem. Your merge backlog is going to grow. You're going to have problems replicating those parts, which ultimately can hurt your ClickHouse cluster, your read queries, etc. You also need to manage infrastructure: scaling consumers, monitoring performance, handling failures, and coordinating with your ClickHouse cluster.
What you need:
- Component that can buffer incoming data