Traditional Databases

Traditional relational databases are designed for exact matching rather than semantic similarity. Relational databases break down when workloads require horizontal scaling. Growing relational database workloads can create replication delays, index tuning overhead, and performance bottlenecks. Traditional databases are poorly suited for AI applications that need to reason about meaning rather than literal strings. Relational schema rigidity makes application evolution costly and disruptive. Relational databases provide structured data and SQL querying.