It's Okay To Store Data In Kafka

This post argues that Kafka is designed for long-term data storage, not just messaging. It highlights use cases like event sourcing, materialized views for stream processing, and Change Data Capture (CDC) where Kafka's log compaction and persistent storage are beneficial. The author contrasts Kafka's architecture (distributed filesystem/database-like) with traditional message queues, emphasizing its ability to store, replicate, and serve data reliably. It also touches on the operational rigor required when treating Kafka as a primary store and mentions Confluent's support and hosted services.