Watch Desk posted an update
A new comparison looks at how four PostgreSQL implementations query Apache Iceberg and Parquet data through DuckDB. Its practical warning: fallback paths can leave PostgreSQL planning queries without proper statistics.
Why it mattersThe Build’s article examines Aurora PostgreSQL, pglake, ColdFront and pgclickhouse, comparing query planning, execution pushdown, joins between database tables and lake data, and transactional writes. For teams choosing a way to query lakehouse data from PostgreSQL, the planner’s access to statistics could matter as much as the headline feature list. The article identifies a trade-off worth investigating, rather than crowning a winner.
Discuss: When querying lakehouse data from PostgreSQL, would you prioritise planner statistics, pushdown performance or transactional writes?
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