How to Use This Tool
Project raw row growth with an explicit index and storage-overhead allowance. Row count forecasts ignore indexes, tuple headers and alignment, leaving storage, backup and maintenance windows undersized.
Why Database Table Growth needs more than a raw total
Measure average stored row size from the actual database because application JSON or CSV size is not physical table size. For this page, the useful comparison is projected table growth, not whichever input happens to be largest. The Database Table Growth result answers the decision in the heading and should not be reused as a score for a different workflow.
The exact Database Table Growth formula
Growth in GiB equals row KB × rows per day × (1 + overhead) × days ÷ 1,048,576. The visible fields are Average stored row size, New rows per day, Index and storage overhead and Retention or forecast window. For Database Table Growth, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed projected table growth may be arithmetically valid but operationally meaningless.
Interpreting projected table growth
Compare the projection with free disk, backup throughput and maintenance duration before extending retention. The ten-percent comparison is deliberately narrow: it tests the influence of average stored row size and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Database Table Growth supported the choice.
What this Database Table Growth model leaves out
Deletes, vacuum behavior, compression, TOAST or overflow storage, replicas, write amplification and existing rows are excluded. That is where Database Table Growth stops being trustworthy. If an excluded factor could reverse projected table growth, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.
Evidence and independent verification
The reference reviewed for Database Table Growth is PostgreSQL — Database object size functions. PostgreSQL — Database object size functions supports the named definition or rule but does not supply private values for projected table growth. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.
Private, reproducible calculation
Database Table Growth runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Database Table Growth inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen PostgreSQL — Database object size functions and rerun the saved Database Table Growth scenario.
Sources & assumptions
Tool Spec v2 · verified 2026-08-22. Platform rules and fees can change; the editable inputs remain authoritative for your account.
Official references
- PostgreSQL — Database object size functions (checked 2026-08-22)
Model assumptions
- Every input covers the same reporting period or cohort.
- Deletes, vacuum behavior, compression, TOAST or overflow storage, replicas, write amplification and existing rows are excluded.
- The calculator uses only the visible fields and does not fetch account data.
