MySQL

MySQL is the pragmatic choice when your application stack is built on PHP or Laravel, when your team already has MySQL operational expertise, or when you need compatibility with platforms like WordPress, Magento, or WooCommerce that assume a MySQL backend. MySQL's InnoDB engine delivers excellent performance for read-heavy web workloads with simpler query patterns. It also has a slight edge in replication simplicity — Group Replication is easier to set up than PostgreSQL's streaming replication with automatic failover. Choose PostgreSQL when you need advanced features like JSONB indexing, window functions with complex framing, partial indexes, or extension support for vector search and geospatial queries.

MySQL 8.x introduced transformative features that close the gap with PostgreSQL. Window functions enable running totals, rankings, and moving averages without subquery workarounds. Common Table Expressions (CTEs) make recursive and complex queries readable and maintainable. JSON functions provide native path extraction, modification, and indexing on JSON columns, reducing the need for separate document stores. Invisible indexes allow performance testing by disabling an index without dropping it. The default authentication plugin switched to caching_sha2_password, improving security. Role-based access control simplifies permission management across large teams. These features collectively make MySQL 8.x a genuinely modern relational database rather than the legacy engine many developers still imagine.

E-commerce MySQL optimization starts with InnoDB buffer pool sizing — set it to 70-80% of available RAM so frequently accessed data and indexes stay in memory. Composite indexes on common query patterns (category + status + created_at for product listings, user_id + order_date for order history) eliminate expensive table scans. Read replicas behind ProxySQL handle catalog browsing while the primary handles writes during checkout. Slow query log analysis identifies the top 10 offending queries for targeted optimization. For flash sale scenarios with thousands of concurrent writes, we use SELECT FOR UPDATE SKIP LOCKED for inventory decrement to avoid lock contention. Point-in-time recovery with binary log replication ensures no transaction is ever lost.

Amazon RDS for MySQL starts at approximately $25/month for a db.t3.micro (2 vCPU, 1 GB RAM) suitable for development, while production-grade db.r6g.large instances (2 vCPU, 16 GB RAM) with Multi-AZ failover cost roughly $350-500/month including storage and backups. PlanetScale offers serverless MySQL starting at $39/month with automatic scaling. Self-managed MySQL on a dedicated server with 32 GB RAM costs $100-200/month in bare compute but requires 5-10 hours of monthly administration for updates, monitoring, and backup management. For Laravel projects, the sweet spot is often Amazon RDS or DigitalOcean Managed Databases ($60-200/month) — managed enough to eliminate operational burden but less expensive than fully serverless options.

MySQL's integration with the PHP ecosystem is its strongest asset. Laravel's Eloquent ORM is tuned for MySQL's query optimizer and InnoDB behavior — eager loading, chunked queries, and cursor pagination all work flawlessly. MySQL's full-text search with InnoDB is sufficient for basic search needs without introducing Elasticsearch or Meilisearch. The migration tooling in Laravel handles MySQL schema changes with zero-downtime strategies using pt-online-schema-change for large tables. The community knowledge base is massive: virtually every PHP/Laravel deployment pattern, performance trick, and troubleshooting scenario has documented MySQL solutions. Hosting infrastructure support is universal — every cloud provider, PaaS, and shared hosting environment supports MySQL natively.