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Database Storage Calculator

Estimate database storage footprint from row count, average row size, and index overhead.

Last reviewed: April 30, 2026Free toolMethodology

Database Storage Calculator

These fields start with sample inputs. Keep them or replace them, then run the tool to show a fresh result.

Number fields accept plain values and common formatted input such as 250000, 250,000, or 1,234.56.

Result

Calculating the sample result.

Why it matters

Database storage growth affects infrastructure cost, backup volume, and maintenance planning.

When to use

  • Forecasting table growth
  • Sizing a new workload
  • Checking whether indexes are materially changing storage needs

Inputs & Outputs

Inputs

  • Row count is the number of rows expected in the table or dataset.
  • Average row size should reflect the approximate bytes per row in stored form.
  • Index overhead factor is a multiplier for extra storage used by indexes.

Outputs

  • Estimated data volume shows base table storage before index overhead.
  • Total storage estimate includes the additional index multiplier.

Storage estimate method

Multiply row count by average row size to estimate raw table size, then apply the index overhead factor to estimate total storage footprint.

Total storage = row count x average row size x index overhead factor

Worked example

1

Workload sizing

A table is expected to hold 85 million rows with an average row size of 420 bytes and a 1.35x index overhead factor.

Inputs

  • Rows: 85,000,000
  • Average row size: 420 bytes
  • Index overhead: 1.35x

Steps

  • Base size = rows x row size
  • Total size = base size x index factor

Result

  • The calculator estimates both base table size and total storage including indexes.

Edge cases & caveats

  • Real storage varies by engine, data types, fill factor, compression, and page overhead.
  • This is a planning estimate rather than an exact engine-specific storage calculation.

Frequently Asked Questions

How do I estimate average row size?

Use a representative sample of stored rows or a schema-based estimate that includes realistic data lengths.

Should I include replicas?

If you are planning total infrastructure cost, yes. Replicas multiply the storage footprint.

Keep going

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