Database Hosting Cost Calculator
Database TCO monthly.
Calculate monthly database hosting cost from storage volume, IOPS, and compute instance size at provider per-unit prices.
What this tool does
Cloud database hosting costs typically break down into three main components: storage capacity, input/output operations per second (IOPS), and compute memory allocation. This calculator adds those components together to estimate your total monthly hosting bill. Storage cost multiplies your gigabyte usage by the per-GB rate. IOPS cost scales based on operations per second, charged at a per-1,000-operations rate and annualized to a monthly figure. Compute cost reflects your RAM allocation at the rate your provider charges. The result shows the combined monthly expense across all three dimensions. This calculation assumes fixed pricing and doesn't account for variable usage patterns, discounts, overage charges, or features like backups and redundancy, which many providers charge separately. Use this as an illustration of how the three cost elements interact.
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Formula Used
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Calculations or display — let us know.
Disclaimer
Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.
Database hosting costs stack across three components: storage (0.08-0.12/GB/month for SSD), IOPS capacity (0.05-0.15 per 1,000 IOPS for 30 days), and compute instance cost (server ram + CPU). Managed databases (RDS, Cloud SQL, Aurora) add 20-40% premium over raw VM + database for convenience and automation.
500GB storage × 0.115 = 57.50. 3,000 IOPS × 0.05 per 1,000 × 2.6M seconds/month = 390. 250 compute instance. Total 697/month, 8,364 annually. For most apps, compute is the biggest line item. High-IOPS workloads (real-time apps, gaming) can see IOPS dominate.
Cost-cutting levers: reserved instances (save 30-60%), right-size instances (don't over-provision), use tiered storage (hot/warm/cold), enable compression (saves 50-70% storage for text-heavy data). Most databases are over-provisioned by 30-50% when first launched; review quarterly to catch overspend.
Quick example
With storage of 500 and storage cost per gb of 0.12 (plus iops per second of 3,000 and iops cost per 1,000/sec/mo of 0.05), the result is 312.00. Change any figure and watch the output shift — it's often more useful to see the pattern than to memorise the formula.
Which inputs matter most
You enter Storage (GB), Storage Cost per GB (£/mo), IOPS per Second, IOPS Cost per 1,000/sec/mo (£), and Compute RAM (GB).
What's happening under the hood
Total = (storage × rate) + (IOPS/1000 × rate × seconds in month) + compute cost. The formula is listed in full below. If the number looks off, you can retrace the calculation by hand — that's the point of showing the working.
What to do with a low result
A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.
What this doesn't capture
The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.
500GB × ££0.115 + 3,000 IOPS × ££0.05/1000 + ££250 = 312.00.
Inputs
This example uses typical values for illustration. Adjust the inputs above to match a specific situation and see how the result changes.
Sources & Methodology
Methodology
Total = (storage × rate) + (IOPS/1000 × rate × seconds in month) + compute cost.
References
Frequently Asked Questions
Why are IOPS so expensive?
Managed vs self-hosted?
How to reduce DB cost?
Aurora vs standard RDS?
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