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Pick your source and target systems, volume, linked records, and sync mode to get a complexity score, recommended approach, toolchain, and a 7-step migration plan.
Source system
Target system
Record volume
Linked records
Migration mode
Exports and imports line up: run the checklist and go.
Complexity 1/10. Estimated time: 1 to 3 hours.
Low complexity, a straightforward migration.
With automation tools; a manual migration typically takes 2 to 3x longer.
Google Sheets to Airtable: Feasible in-house in a few hours with exports, imports, and careful field mapping.
Validate after the move: diff exported before-and-after samples so nothing silently changed in transit.
A data migration planner is a tool that scopes the move of records from one system to another before you touch any data. This planner turns your source, target, volume, linked records, and sync mode into a complexity score from 1 to 10, a recommended approach, a toolchain, and a 7-step plan.
Data migration is the process of selecting, preparing, extracting, and transforming data to move it permanently between systems, and most failures come from skipped validation rather than the transfer itself. After a move, compare exports with the CSV Compare tool to prove nothing changed in transit.
The score is a transparent, additive model computed in your browser, not a black box. Each input contributes a visible amount:
All processing happens in your browser. No data is uploaded, and nothing you select or export is stored between visits.
Migrations rarely fail during the transfer; they fail quietly afterwards, when nobody validated the result. These habits keep the move reversible:
Because the plan exports in five formats and the scoring is transparent, it works as both a scoping tool and a shared checklist. Here is where it earns its place:
A data migration plan is the documented path for moving records from one system to another without losing or corrupting them. It covers field mapping, a test batch, validation of record counts and relations, the migration window, and how long the source stays read-only as a fallback.
The score from 1 to 10 adds up visible factors: how much structure the source carries, whether the target enforces a fixed schema, record volume, how many linked records must survive, whether the target supports relations at all, and whether you need ongoing sync. The formula is deterministic and runs in your browser.
Almost always yes, because every system in the planner can export to and import from a flat format such as CSV. What changes is the effort: flat exports drop linked records and typed fields, so complex pairs need native importers, middleware, or an ETL tool rather than a plain file transfer.
Use the score as the guide. Scores 1 to 4 are self-service: exports, imports, and careful mapping in a few hours. Scores 5 to 7 justify a freelancer or migration service. Scores 8 to 10 warrant a specialist, because rework after a failed complex migration costs more than help.
Back up the source and keep it read-only, migrate a test batch of 50 to 100 records first, validate record counts and spot-check individual records, run the full job during low-activity hours, and keep the old system available for at least 30 days after cutover before retiring it.
No. All processing happens in your browser. Your system choices, volume, and the generated plan never leave your device, and nothing is stored between visits. The planner works from your selections alone, so you can scope confidential migrations without sharing anything with TestMu AI or any third party.
Yes. The Data Migration Planner is completely free, with no signup, no email gate, and no usage limits. All 12 systems, every volume band, and the plan export in Markdown, plain text, JSON, CSV, and HTML are available to everyone. TestMu AI maintains it as part of its free online tools collection.
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