PostgreSQL Conference Europe 2026

For years, developers have pushed PostgreSQL to its absolute limits, asking it to handle both high-frequency transactions and massive analytical aggregations. But as data grows, even the most tuned Postgres instance eventually hits the "analytical wall."

For sure PostgreSQL is the "everything database," but "everything" has a limit. When your SELECT COUNT(*) starts taking minutes and your indexes are eating more disk than your data, you’ve reached the limits of Row-Store architecture. The traditional solution? Move to a closed-source, "pay-per-query" cloud warehouse. The better solution? Stay open-source and introduce a Column-Store companion.

This talk introduced Clickhouse at all and breaks down the architecture of the Postgres Bridge. We will move beyond the hype and look at the practical "how-to" of building a unified data layer where Postgres handles the mission-critical writes and ClickHouse handles the heavy-lifting of analytical reads.