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Cloud Database Pricing

Google Cloud SQL Pricing

Monthly price of every Cloud SQL machine type — Enterprise and Enterprise Plus, for MySQL and PostgreSQL, across Google Cloud regions. Pick your region, engine, and edition, and sort by any column.

Updated July 7, 2026
Engine
Edition
Category
db-f1-micro10.6$8
db-g1-small11.7$26
db-standard-113.75$49
db-standard-227.5$99
db-highmem-2213$127
db-standard-4415$197
db-highmem-4426$253
db-standard-8830$394
db-highmem-8852$507
db-standard-161660$789
db-highmem-1616104$1,014
db-standard-3232120$1,578
db-highmem-3232208$2,028
db-standard-6464240$3,156
db-highmem-6464416$4,055
db-standard-9696360$4,734
db-highmem-9696624$6,083

17 instances · US Central (Iowa) · prices are for the database instance (compute) only — storage, high availability, and network egress are billed separately. Indicative prices as of July 7, 2026; verify with the provider.

How Google Cloud SQL pricing works

Cloud SQL prices the database instance by its resources, not as a fixed instance type: you pay per vCPU and per GB of memory, by the hour. The table shows that as a monthly figure (hourly rate × 730) for the standard and high-memory machine types, plus the two flat-rated shared-core tiers. Prices are for a Zonal (single-zone) instance; a Regional/HA configuration roughly doubles the compute cost.

Enterprise is the standard edition; Enterprise Plus charges a higher per-vCPU and per-GB rate (about 30% more) for larger machines, a data cache, and faster maintenance and failover. Shared-core tiers (db-f1-micro, db-g1-small) are Enterprise-only. Switch editions above to reprice the whole table.

The price covers compute only. Storage, high availability, backups, and network egress are billed separately and vary by region. Committed-use discounts exist but are spend-based (not per instance), so they aren’t shown here. For the AWS managed databases, see the Amazon RDS and Amazon Aurora pricing tables.

Google Cloud SQL pricing FAQ

How much does Google Cloud SQL cost?
On-demand Cloud SQL starts around $8/month for a shared-core db-f1-micro instance and scales to several thousand per month for the largest high-memory machine types (Enterprise, us-central1). That is the instance (compute) price only — storage, high availability, and network egress are billed separately. Use the region, engine, and edition selectors above to price your exact setup.
What's the difference between Cloud SQL Enterprise and Enterprise Plus?
Enterprise is the standard edition. Enterprise Plus costs roughly 30% more per vCPU (and a higher per-GB memory rate) in exchange for larger machine types, a data cache, faster failover, and near-zero-downtime maintenance. Toggle the edition above to compare — the table reprices every row.
Does the price include storage and high availability?
No. The table prices the database instance (compute) only. SSD/HDD storage, high availability (a regional/HA configuration roughly doubles the compute rate), automated backups, and network egress are billed separately by Google Cloud and vary by region.
Does Cloud SQL have committed-use discounts?
Yes, but they are spend-based, not per-machine-type: you commit to a dollar amount of vCPU/RAM usage for 1 or 3 years (about 25% and 52% off) and the discount applies at the billing account. Because they aren't tied to a specific instance SKU, they can't be shown per row — this table lists on-demand rates.
What's the cheapest Cloud SQL instance?
The shared-core db-f1-micro is the cheapest option (about $8/month on-demand in us-central1), followed by db-g1-small. Shared-core machine types are Enterprise-edition only; Enterprise Plus starts at the dedicated-core standard and high-memory tiers.
Is Cloud SQL pricing the same in every region?
No. Rates vary by Google Cloud region; us-central1 (Iowa) is usually among the cheapest. Switch regions with the selector above to see local pricing.
Does this cover Cloud SQL for SQL Server?
Not yet. Cloud SQL also offers SQL Server, but its pricing adds per-core Microsoft licensing on top of the machine cost. This table covers the open-source engines — MySQL and PostgreSQL.

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