MySQL and PostgreSQL are both excellent relational databases, and the right choice depends on your specific requirements. Here’s a practical comparison based on real-world usage.
Architecture Differences
MySQL uses a pluggable storage engine architecture. InnoDB (the default) provides ACID compliance and foreign key support. This architecture offers flexibility but means behaviour can vary between engines.
PostgreSQL uses a single, unified storage system with MVCC (Multi-Version Concurrency Control). It’s strictly ACID-compliant and standards-conformant. PostgreSQL tends to implement SQL features more completely and correctly than MySQL.
Performance Characteristics
MySQL is faster for simple read-heavy workloads — basic SELECT queries, primary key lookups, and straightforward CRUD operations. If your application is primarily read-heavy with simple queries, MySQL’s performance is excellent.
PostgreSQL performs better for complex queries involving multiple joins, subqueries, window functions, and aggregations. Its query planner is more sophisticated, producing better execution plans for complex queries. For analytical workloads alongside transactional ones, PostgreSQL is typically the better choice.
Data Types and Features
PostgreSQL offers richer data types: native JSON/JSONB with indexing support, arrays, hstore (key-value), range types, and custom types. JSONB indexing is particularly valuable — you can query JSON documents with the performance of structured data.
MySQL’s JSON support has improved significantly but doesn’t match PostgreSQL’s indexing and querying capabilities. MySQL’s strengths are in simplicity and broad hosting support.
Full-Text Search
PostgreSQL includes built-in full-text search with ranking, stemming, and dictionary support. For applications that need search functionality, PostgreSQL can eliminate the need for a separate search engine like Elasticsearch for moderate-scale use cases.
MySQL’s full-text search works for basic use cases but lacks PostgreSQL’s sophistication. Most MySQL applications needing serious search add Elasticsearch or Algolia.
Replication and Scaling
MySQL’s replication is mature and well-understood. Setting up read replicas is straightforward. MySQL is also the foundation of managed services like Amazon Aurora, which provides MySQL compatibility with enhanced scalability.
PostgreSQL’s streaming replication is reliable and supports synchronous replication for high-availability requirements. Logical replication (added in PostgreSQL 10) enables selective table replication and cross-version replication.
Laravel Compatibility
Laravel works excellently with both databases. Eloquent ORM, migrations, and query builder abstract most differences. However, some PostgreSQL-specific features (array columns, JSONB querying, full-text search) require raw queries or custom scopes.
Our Default
At Masterpiece Designs, we default to MySQL for straightforward web applications where simplicity and broad support matter. We choose PostgreSQL when projects need advanced querying, JSONB indexing, or built-in full-text search. Both databases serve our clients well — the choice is driven by project requirements, not preference.