MySQL and PostgreSQL both power production applications at massive scale, yet they feel different day to day. MySQL (and MariaDB) dominate shared hosting and legacy LAMP stacks. PostgreSQL wins many greenfield SaaS products for standards compliance and richer types. Developers increasingly touch both, plus SQLite locally.

Data modeling differences

PostgreSQL embraces JSONB, arrays, UUID native types, and partial indexes. MySQL improved JSON support significantly but historically optimized for simpler schemas and read-heavy replicas. Postgres CHECK constraints and exclusion constraints are first-class; MySQL apps often enforce rules in application code.

SQL and quoting quirks

MySQL traditionally uses backticks for identifiers; PostgreSQL uses double quotes. SQLite follows Postgres-style quotes. A GUI that generates SQL must know which engine is active, or you paste invalid syntax. PgNative applies engine-specific quoting when building filters and browsing metadata so you do not accidentally write users against Postgres.

-- PostgreSQL
SELECT * FROM "users" WHERE id = 1;

-- MySQL
SELECT * FROM `users` WHERE id = 1;

Transactions and replication

PostgreSQL MVCC is straightforward for long-running analytics queries alongside OLTP, with caveats around vacuum. MySQL InnoDB is excellent for many OLTP patterns; replication topologies (async replicas, Group Replication) are mature. Choose based on team expertise and managed provider features, not blog myths.

Managed hosting landscape

PostgreSQL: Neon, Supabase, RDS, Cloud SQL, Crunchy Bridge
MySQL: PlanetScale, RDS, Cloud SQL, MariaDB SkySQL
SQLite: local files, Litestream backups, mobile embeds

When teams run both

Microservices split by bounded context might standardize on Postgres while a vendor integration still requires MySQL. Mobile teams ship SQLite offline stores that sync to Postgres APIs. One SQL client with multi-engine support reduces context switching compared to separate tools per database.

Local development tips

Docker Compose with both services on different ports (5432 and 3306).
Seed scripts versioned per engine; avoid dialect assumptions in ORM migrations.
Use integration tests against the same engine you deploy.
Connect both from PgNative with clearly named saved connections.

Decision checklist

Need advanced types, CTE-heavy SQL, or extensions? Lean Postgres.
Need simplest managed MySQL with branching? Evaluate PlanetScale.
Need embedded offline? SQLite plus server sync.
Unsure? Prototype schema on both for a week with realistic queries.

The winner is rarely universal. The productive setup is knowing both dialects and using tooling that respects the differences while keeping your daily workflow fast. For local iteration before either engine, see SQLite for local development.

MySQL vs PostgreSQL for Developers: A Practical Comparison