Interactive workbench
Database Capacity Planner
Project storage, indexing, and backup growth for transactional data systems.
How much storage, index overhead, and backup space will this data model need over time?
How to use it
- Set the assumptions on the left until they match the workload you are reviewing.
- Validate the structured result, metrics, and recommendations before exporting.
- Copy or export the artifact directly into the design doc, ticket, runbook, or review packet.
What you leave with
- Base data footprint, indexed footprint, and backup storage target.
- Total storage requirement across live and backup copies.
- Approximate monthly indexed growth for capacity planning.
Tool inputs
Database Capacity Planner
Forecast live storage, index overhead, and backup capacity from workload growth assumptions.
Shortcut keys: Ctrl/Cmd + Shift + C copies the current output, and Ctrl/Cmd + Shift + S saves a revision snapshot.
Result
Database capacity forecast
Projected live data footprint is 701.75 GB and total storage with backups is 2,105.26 GB.
Live footprint
701.75 GB
Projected live data size after applying index overhead.
Total storage
2,105.26 GB
Live plus backup storage target.
30-day growth
57.68 GB
Indexed growth expected over the next 30 days.
Filter line-level matches before you export or share the result.
Capacity forecast
Rows per day: 900,000 Average row size: 1.4 KB Retention: 365 days Base storage: 438.59 GB Storage with indexes: 701.75 GB Backup storage: 1,403.5 GB Total storage target: 2,105.26 GB Approximate 30-day indexed growth: 57.68 GB
FAQ
Questions teams ask before they adopt this workflow.
When should teams use Database Capacity Planner?
This tool is most useful when the team needs a fast, reviewable answer before moving into a larger design, documentation, or governance workflow.
Who usually benefits most from Database Capacity Planner?
Architects, platform teams, and technical leads get the most value because they need a clear artifact they can copy into reviews, runbooks, tickets, and stakeholder updates.
How does Database Capacity Planner connect back to Architecto?
The free surface reduces friction. Once the team needs richer diagrams, review automation, or documentation outputs, the matching Architecto feature takes over without changing the workflow language.
Related workflow paths
Keep moving with the next tool, guide, or product module.
Related tool
SLO / Error Budget Calculator
Work out monthly, quarterly, and annual error budgets for critical services and tie them back to release, incident, and support policies.
Related tool
Architecture Review Checklist Builder
Build repeatable review packets for cloud architectures, migrations, data systems, and internal platforms without relying on static spreadsheets.
Guide
What normalization means in Database Design
What normalization means in Database Design with practical review guidance, workflow framing, and explicit next steps for teams working in database design.
Guide
index strategy checklist for Database Design
index strategy checklist for Database Design with practical review guidance, workflow framing, and explicit next steps for teams working in database design.
Comparison
Architecto vs Cloudcraft
Architecto vs Cloudcraft with a technical-buyer lens covering workflow fit, review quality, documentation depth, and surrounding architecture operations.
Continue in Architecto
Use the exported artifact from Database Capacity Planner as the first review input, then move into Db Visualizer when the team needs a deeper design, diagram, or review workflow.
Open matching moduleRelated modules