First screen, captured 2 hours ago. Hover to scroll the page, or open the video.

Moving our warehouse off DuckDB

What HN thinks

Three warehouses in a year, and the blog post still ends before the punchline.

Churn without engineering rigor
Most commenters see a second migration in five months as bad planning and resume-driven churn, with no load testing, metrics or results shown.
Post lacks technical detail
Readers wanted methodology, observed failures and performance numbers; one pointed to the HogLake repo as having more substance.
Should have stayed on ClickHouse
Some argue stateless ClickHouse over Iceberg or mature systems like Vertica would handle this scale, and the company keeps picking half-working platforms.

Consensus: Most agree the post is thin and the rapid flip-flopping between warehouses signals poor planning rather than a genuinely novel problem.

Recommended in the comments

ClickHouse ↗ (product): Its improved Iceberg support allows stateless, petabyte-scale querying that addresses tenancy issues.
PgDog (tool): Suggested for the connection reconnect, TTL and idle connection management problems mentioned.
Vertica (product): Cited as handling millions of queries on trillion-row tables as far back as 2010.

Summarised by Claude from the comment thread 1 hour ago.

Points: 111
Comments: 78
Best rank: #1
Posted: 2026-11-02 by emschwartz
Category: Data databases

duckdb ducklake posthog trino data-warehouse lakehouse postgres

All captures:

Full page

Captured 2 hours ago. Click for the whole screenshot.

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