About this SQL Server Growth Calculator
Database growth planning is easier when data files, logs, indexes, and free-space buffers are modeled separately. This calculator estimates a future SQL Server storage target from simple assumptions.
Who this calculator is for
- DBAs and system administrators planning storage capacity.
- IT teams budgeting database infrastructure.
- SaaS teams checking runway before database storage expansion.
When to use it
- Forecast database size over the next 6, 12, or 24 months.
- Estimate how much extra space logs and indexes may require.
- Create a planning buffer before storage reaches critical thresholds.
How to use this calculator
- Enter current data size and monthly growth.
- Choose the forecast horizon.
- Add transaction log, index overhead, and free-space buffer assumptions.
- Review projected total storage and monthly growth runway.
Key assumptions
- Growth is modeled linearly from user-entered assumptions.
- The calculator does not inspect SQL Server metadata, compression, filegroups, tempdb, HA replicas, or backup storage.
- Results are for capacity planning only and run locally.
Accuracy and testing
Review formula sources, default test cases, assumptions, unit handling, rounding rules, and changelog for this calculator.
How this calculator works
Inputs explained
Current data size
Current SQL Server data footprint, usually data file size or used database size.
Monthly growth
Expected net data growth per month.
Log allowance
Planning space for transaction log files relative to projected data size.
Free-space buffer
Extra storage to avoid running close to capacity.
Understanding your results
Example scenarios
One-year forecast
A 500 GB database growing 35 GB/month reaches 920 GB data size after 12 months before log, index, and buffer allowances.
Key Features
- Instant Calculation
- Private & Secure
- Mobile Optimized
Tips & Best Practices
- Use actual month-end database size history where available.
- Model tempdb, backups, and replicas separately if they share the same storage pool.
- Use a higher buffer for workloads with large batch loads or index rebuilds.