Unverified50% confidenceOpinionExact time
Relational SQL (Postgres/MySQL) collapses in performance on recursive JOIN cascades and CTE traversal to arbitrary depth; vector databases are non-deterministic and cannot tell you whether function A strictly calls function B; traditional graph databases (such as Neo4j) have a heavy JVM runtime, slow cold starts, and high memory usage, making them unsuitable for developer CLI tools.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
Unverified现代 SQL（尤其是支持递归 CTE、窗口函数的方言如 PostgreSQL）在理论上是图灵完备的75% similarUnverifiedAlthough relational databases support JOIN, queries over multi-hop paths of variable depth require recursive CTEs, and their performance and expressiveness are inferior to those of graph databases.74% similarUnverified从数据库取数等简单任务用SQL和关系型数据库比调用大模型更高效，属于架构错配问题71% similarUnverifiedPostgreSQL's ILIKE is an operator-level explicit case-insensitive match, whereas MySQL's case-insensitive behavior depends on the collation setting of the column or connection.71% similarUnverifiedMySQL excels in read-intensive scenarios for web applications, while PostgreSQL is superior in complex queries and data integrity.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1062966API
curl https://kongchang.com/api/v1/knowledge/claims/1062966MCP
get_claim(id=1062966)