Unverified50% confidenceOpinionExact time
A Postgres conference talk compiled by ClickHouse put forward the view that "Postgres is not slow, your storage is slow," arguing that many complaints about Postgres performance are rooted in the configuration and selection of the underlying storage layer.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe trade-off of the "Just use Postgres" philosophy is that at extremely large scale, one may encounter the single-node performance ceiling of Postgres.67% similarUnverified超大规模全文搜索、极高吞吐实时流处理、超低延迟缓存、真正的水平扩展写入等场景下 Postgres 不够用,需专用方案62% similarUnverifiedClickHouse favors batch writes; frequent small-batch inserts produce a large number of small parts, which can trigger a "Too many parts" exception and cause query latency to increase.57% similarVerifiedIn document chunking strategies, chunks that are too long reduce retrieval precision, while chunks that are too short result in loss of context.57% similarUnverifiedWhen decisions can be reformulated as a nearest-neighbor retrieval problem, the action space is large, candidates are relatively stable, and real-time requirements are high, replacing step-by-step generation with contrastive learning plus vector caching can yield order-of-magnitude latency improvements.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1004903API
curl https://kongchang.com/api/v1/knowledge/claims/1004903MCP
get_claim(id=1004903)