AI Engineering
Why I Chose PostgreSQL Over MySQL for My Side Projects
After switching from MySQL to PostgreSQL for a project needing full-text search and JSON storage, the author found PostgreSQL's capabilities superior. PostgreSQL’s `jsonb` type allows for efficient indexing and querying, making complex data interactions seamless. The built-in full-text search with `tsvector` and `tsquery` provided adequate search functionality without external services. Additionally, the introduction of `pgvector` enables the storage of AI embeddings and similarity searches directly within the database, streamlining infrastructure. While MySQL remains effective for high-traffic read-heavy applications, PostgreSQL is recommended for new projects involving AI and complex data scenarios due to its robust feature set and future-proofing.
