Amazon RDS Monthly Cost Calculator
Estimate your monthly Amazon RDS spend across compute, storage, IOPS, backup, and data transfer.
Note: Prices vary by engine, region, license model, and date. This tool is an estimate for planning and budgeting.
How to Use This Amazon RDS Cost Calculator
This calculator helps you estimate monthly Amazon RDS pricing in a practical way. Instead of relying on a single number, it breaks your estimate into major cost drivers: compute, storage, provisioned IOPS, backup storage, and outbound data transfer. You can also model cost reductions from Reserved Instances or other committed-use discounts.
If you are building a budget for MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, or Aurora-compatible usage patterns, start with your expected instance type and storage profile. Then adjust assumptions for high availability and network egress.
What Is Included in the Estimate
- Compute: Instance hourly rate × monthly hours × number of instances.
- Multi-AZ multiplier: Applies a 2x estimate to compute and storage for a conservative HA plan.
- Storage: Allocated GB × storage price per GB-month.
- IOPS: Provisioned IOPS × IOPS price.
- Backup: Paid backup storage beyond free allowance.
- Data transfer out: Internet egress from your database workload.
- Discounts: A percentage reduction to model reserved pricing.
Input Guidance and Best Practices
1) Instance Hourly Price
Use your actual AWS price whenever possible. The preset list is only a quick starting point. Real prices differ by region, engine, generation, and licensing.
2) Hours per Month
Full-time workloads usually use 730 hours. If your environment is non-production and can be shut down overnight or on weekends, lowering this number can show substantial savings.
3) Multi-AZ and High Availability
Multi-AZ significantly improves resilience, but it increases spend. Keep it enabled for production systems that need strict uptime, and consider Single-AZ for dev/test environments.
4) Storage and IOPS
Right-size storage first, then evaluate whether your workload actually needs provisioned IOPS. Many applications can perform well on general-purpose storage with proper indexing and query optimization.
Example Cost Planning Scenario
Imagine a production PostgreSQL workload with one db.m6i.large instance, 200 GB of storage, Multi-AZ enabled,
and moderate backup plus egress. A rough estimate can quickly move from low hundreds to several hundred dollars monthly once HA and
network transfer are added. That is exactly why line-by-line visibility matters.
Ways to Reduce Amazon RDS Costs
- Use smaller instances in staging/dev and schedule automatic stop/start windows.
- Adopt Graviton-based classes where compatible for better price-performance.
- Purchase Reserved Instances for steady production workloads.
- Tune queries and indexes before scaling IOPS or instance size.
- Set retention policies for snapshots and backups to avoid storage creep.
- Monitor data egress patterns and keep traffic in-region when possible.
Important Notes Before Final Budget Approval
This page provides an estimation model, not a billing guarantee. Actual AWS bills may include additional line items such as CloudWatch, Performance Insights, Enhanced Monitoring, cross-region replication traffic, KMS requests, and taxes. Always validate with the official AWS Pricing Calculator and a recent Cost and Usage Report.
Quick FAQ
Is this an official AWS calculator?
No. It is an independent planning calculator built for quick scenario analysis.
Can I use this for Aurora?
You can use the structure, but Aurora has different pricing dimensions (including I/O requests in some configurations), so update fields accordingly for best accuracy.
Should I include read replicas?
Yes. Add them into Number of DB Instances or model them separately so your estimate reflects total fleet cost.