PostgreSQL vs MySQL for Indonesian SaaS in 2026

Our default: PostgreSQL#

Top reasons for any-scale multi-tenant SaaS:

1. JSONB — native document support with indexable queries. Flexible schema without moving to MongoDB.
2. CTEs & Window Functions — analytics queries are far cleaner. Great for reporting dashboards.
3. Row-Level Security (RLS) — multi-tenant isolation at the DB level. App-code bugs don’t automatically leak data across tenants.
4. Logical replication — easy read replicas, easy ETL into data warehouses.
5. Built-in full-text search (tsvector) — for small-to-mid SaaS, no separate Elasticsearch needed.

When MySQL still makes sense#

• WordPress / WooCommerce ecosystem — MySQL-first toolchain.
• Read-heavy with hundreds of thousands of simple QPS — MySQL can edge out for basic workloads.
• Ops team already expert in MySQL replication / Percona / Vitess.
• Cheap hosting with MySQL pre-installed — some shared hosts are MySQL-only.

Common worries that don’t really apply#

• “PostgreSQL is slower for writes” — on modern hardware (Ryzen + NVMe Gen 4), the diff is invisible until thousands of TPS. The bottleneck is usually app code, not the DB engine.
• “MySQL is more familiar” — basic queries are identical. The difference is PG extensions that have no equivalent in MySQL.

Our standard setup#

PostgreSQL 17 (or Supabase Postgres)
+ pgbouncer (connection pooling)
+ logical replication to read replica
+ daily pg_dump + WAL archiving

For database architecture discussions, free consultation.