Why LLMs Fail at SQL: The Case for Semantic Layers
Paul Dudley
April 3, 2025
TL;DR
β’ LLMs crush code but fail at business data questions because data warehouses don't speak business language. β’ Semantic layers may be the key-companies like Palantir and OpenAI are quietly getting this right. β’ Context beats code: without semantic understanding, enterprise SQL queries will continue to frustrate AI tools.
Table of Contents
No sectionsβ>
ππππ΄ π’π³π¦ π€π³πΆπ΄π©πͺπ―π¨ π€π°π₯π¦. ππΆπ΅ π§π’πͺππͺπ―π¨ π’π΅ π₯π’π΅π’.
This weekβs newsletter comes from our own Paul Dudley, back again with the bold facts, the real talk β and yes, the video.
π₯Why are LLMs so bad at answering business questions?
Because your data warehouse doesnβt speak π£πΆπ΄πͺπ―π¦π΄π΄. πππ¦ππ§ππ’π π₯ππ²ππ«π¬ π¦π’π π‘π ππ ππ‘π π€ππ².
ππ‘π’π¬ π¨π§π π π¨ππ¬ ππππ© π’π§ππ¨:
βοΈ Why LLMs flop on enterprise SQL
π§ Context beats code
π What Palantir and OpenAI are quietly doing right
π£ And why semantic layers may be the most critical thing no one wants to own
π¬ Traditional action. No fluff.
Just semantics.
β
Full blog was originally posted on Streamkapβs Substack.
β
P.S. π€ Stay in the loop βsubscribe: https://streamkap.substack.com/
Paul Dudley
LinkedInAuthor Bio
Paul is the CEO and Co-Founder of Streamkap
Published
April 3, 2025
TL;DR
β’ LLMs crush code but fail at business data questions because data warehouses don't speak business language. β’ Semantic layers may be the key-companies like Palantir and OpenAI are quietly getting this right. β’ Context beats code: without semantic understanding, enterprise SQL queries will continue to frustrate AI tools.
Related blog posts
Will AI Replace Zapier? How MCP Threatens 8,000+ Integrations
Chegg's stock plunged 89% due to AI disruption. Now MCP threatens Zapier's 8,000+ integrations - will they adapt or decline?
Whatβs New in Streamkap: π§ Apache Iceberg Connector
Real-time lakehouse, simplified with Apache Iceberg and Streamkap
Whatβs New in Streamkap: Read-Only Snapshot and Heartbeat Support
Responsive connectors, no replication lag or stuck offsets in low activity tables.