Database Cost Calculator - Calculator
Database Cost Calculator - Calculator
RDS, SQL, Cloud SQL cost calculator. This page provides comprehensive pricing comparison across all major regions, including on-demand, reserved, and spot pricing options. Use this calculator to estimate costs for database cost calculator across AWS, Azure, GCP, and Alibaba Cloud.
Input Parameters
| Parameter | Value | Description |
|---|---|---|
| Instance type | m5.large / D2s_v5 / e2-standard-2 | Choose equivalent instance across providers |
| vCPU count | 2 | Number of virtual CPUs |
| Memory | 8 GB | RAM in gigabytes |
| Region | us-east-1 | Primary deployment region |
| Usage hours | 730 | Hours per month (24x30.5) |
| Pricing model | On-demand | On-demand, reserved, or spot |
Pricing Comparison
| Provider | Instance | Hourly | Monthly | Yearly |
|---|---|---|---|---|
| AWS | m5.large | $0.0960 | $70.08 | $840.96 |
| Azure | D2s_v5 | $0.0960 | $70.08 | $840.96 |
| GCP | e2-standard-2 | $0.0670 | $48.91 | $586.92 |
| Alibaba | ecs.g6-large | $0.0500 | $36.50 | $438.00 |
Calculation Formula
Monthly cost = Hourly rate × Usage hours per month
For reserved instances:
- 1-year reserved: Monthly cost × 0.60 (40% savings)
- 3-year reserved: Monthly cost × 0.28 (72% savings)
For spot instances:
- Spot cost = On-demand cost × 0.30 (70% savings, variable)
Example Calculation
Scenario: Running a web API on 4 instances, 24/7 for 1 year
| Provider | Instance | Monthly cost (4 instances) | Annual cost |
|---|---|---|---|
| AWS | m5.large | $280.32 | $3363.84 |
| Azure | D2s_v5 | $280.32 | $3363.84 |
| GCP | e2-standard-2 | $195.64 | $2347.68 |
| Alibaba | ecs.g6-large | $146.00 | $1752.00 |
Recommendation
- Compare all providers: Differences can be 30-50% for the same workload
- Factor in data transfer: Cross-region transfer adds 2-8 cents per GB
- Consider reserved instances: Commit to 1-3 years for 40-72% savings
- Use spot for variable load: Spot instances save 70-90% for interruptible workloads
- Include all costs: Storage, network, and management overhead add 10-30%
Data Source
- API: Multi-provider Official Pricing API
- Fetched: 2026-07-23
- Methodology: Prices retrieved via official API and normalized to USD hourly/monthly rates