Scaling Postgres to billions of rows in 2026

Scaling PostgreSQL to handle billions of rows involves addressing the challenges of maintaining efficient analytical workloads alongside transactional operations. As data volume grows, PostgreSQL faces issues such as autovacuum, table bloat, and lock contention, which become operational concerns. The strategy for managing these challenges includes identifying where PostgreSQL's performance breaks down and implementing optimizations like partitioning and indexing. To alleviate the strain on PostgreSQL, analytical queries can be offloaded to specialized engines like ClickHouse®, using Change Data Capture (CDC) to stream data from PostgreSQL. Integration paths include solutions like Tinybird for minimal operational overhead and managed ingestion via ClickHouse® Cloud, or self-managed setups for full control over infrastructure and data semantics. The process involves shaping queries to leverage ClickHouse®'s strengths in handling large-scale analytical workloads, defining latency and freshness SLAs, and thorough monitoring to maintain performance and reliability.

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