Postgres pricing covers the total cost of running PostgreSQL—licensing, hardware, cloud services, and operational overhead.
PostgreSQL is free to download and use, but total cost includes compute, storage, backups, high availability, and support. On-prem setups pay for servers and admins; cloud users pay per vCPU, GB-RAM, and IOPS.
AWS RDS, Azure Database, and Google Cloud SQL charge hourly for instance size plus per-GB storage and backup. Example: an r6g.large (2 vCPU, 16 GB RAM) on RDS ~USD 0.30/hr; 100 GB gp3 storage adds ~USD 8/mo.
Instance class, storage type (SSD vs. magnetic), write IOPS, automated backups, and cross-AZ replication are the biggest drivers. Rightsize CPU/RAM and keep unused indexes trimmed to control spend.
Multiply hardware purchase or lease, electricity, rack space, and admin salary. A $4,000 server amortized over three years plus $1,000/yr power equals ~$210/mo before labor.
Use built-in size functions to project future growth and pick the right storage tier.
SELECT
pg_size_pretty(pg_database_size('ecommerce')) AS current_size,
pg_size_pretty(pg_total_relation_size('orders')) AS orders_table;
If workloads are steady, data grows slowly, and you already run servers 24/7, self-hosting can be 30-50% cheaper than managed services. Factor in redundancy and patching time.
Enable autoscaling storage, schedule read-only replicas off during low traffic, purge old partitions, compress large JSON columns, and monitor slow queries with pg_stat_statements
.
Cloud cost calculators, pg_monitor
views, and third-party dashboards like pganalyze surface CPU, I/O, and bloat so you can forecast spend.
Yes. PostgreSQL uses the permissive PostgreSQL License, so you pay only for infrastructure and support, not for software seats.
Yes. Use logical replication or dump/restore. Validate downtime, recreate users, and retune configs for bare metal before cut-over.
Absolutely. Faster queries use less CPU and I/O, allowing smaller instances and storage tiers—directly reducing your bill.