OLTP is expensive, you can ClickHouse it.

As application data and query volumes grow, the article argues that maintaining all records in PostgreSQL can become costly because OLTP systems enforce ACID guarantees through mechanisms such as write-ahead logging, MVCC, index updates, and page-based storage, creating significant read and write amplification for data that is rarely changed. Although distributed and cloud-native PostgreSQL systems can scale capacity and throughput, they generally do so with roughly linear infrastructure costs and added coordination overhead. It proposes separating actively changing data, which remains in PostgreSQL for transactional writes and fresh reads, from settled or mostly read-only historical data, which can be replicated to ClickHouse for lower-cost storage, aggregation, and analytical queries. ClickHouse’s columnar architecture is presented as offering substantially greater compression, cheaper infrastructure, and more efficient batch indexing and aggregations, while accepting trade-offs such as slower single-row retrieval and eventual consistency. The article promotes ClickHouse Cloud’s managed PostgreSQL offering, including NVMe storage, WalShadow change-data capture, and pg_clickhouse integration, as a way to synchronize the two systems and reduce the cost of serving settled data.

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