Expired50% confidenceFactExact time
The pg_duckdb extension introduces DuckDB's vectorized execution engine into the Postgres query path, achieving order-of-magnitude improvements in analytical query performance
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/5/2026(expired)
Sources
LTAP Architecture Deep Dive: Storing Postgres Data in Parquet Format on S3
hackernewshackernews7/1/2026
Related Claims
VerifiedThe pgvector extension adds vector storage and similarity search capabilities to PostgreSQL, enabling Supabase to serve simultaneously as a traditional database and a vector database.68% similarUnverifiedDuckDB的向量化执行引擎每次处理一批数据(通常1024至2048行),相比火山模型每次处理一行,在聚合、过滤等分析场景下比行存数据库快出一到两个数量级67% similarUnverifiedDuckDB是近年来数据工程领域增长最快的开源项目之一,是一个嵌入式的列式分析数据库67% similarUnverifiedDuckDB was developed by the CWI database research center in the Netherlands and is positioned as the SQLite of the OLAP domain, focusing on columnar storage and a vectorized execution engine64% similarUnverifiedPostgreSQL can serve as a drop-in replacement for MySQL and MongoDB, and supports vector storage when used with PG Vector.63% similar
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