Unverified50% confidenceTradeoffExact time
Using Postgres with pgvector allows structured data and vector data to be placed in the same storage layer, reusing transactions, permissions, and backup strategies, thereby reducing operational overhead.
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50%
Confidence
Long-term
Relevance
9/20/2026
First Seen
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Related Claims
UnverifiedTypical examples of the "Just use Postgres" philosophy include using pgvector instead of a vector database, using pg_cron instead of Celery/Redis for scheduled tasks, and using LISTEN/NOTIFY instead of a message queue.75% similarVerifiedThe pgvector extension adds vector storage and similarity search capabilities to PostgreSQL, enabling Supabase to serve simultaneously as a traditional database and a vector database.74% similarUnverifiedRamp uses a Postgres transactional layer to maintain transactional guarantees and referential integrity between entities, and retains complete metadata64% similarUnverifiedImmich 借助 pgvector 将 CLIP 特征向量持久化存储，pgvector 是 PostgreSQL 的向量相似度搜索扩展，于 2021 年首次发布64% similarUnverifiedPostgreSQL can serve as a drop-in replacement for MySQL and MongoDB, and supports vector storage when used with PG Vector.62% similar
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