Manual schema diff vs SchemaLens
See exactly how long the old way takes, what SchemaLens replaces, and how much your team saves in a year. Adjust the calculator to match your workflow.
🔥 The manual way
What most teams do today
-
1
Dump schemas with
pg_dumpormysqldump5 min - 2 Open both dumps side-by-side in an editor 5 min
- 3 Scan every table, column, index, and constraint for changes 15 min
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4
Write
ALTER TABLEscripts by hand 20 min - 5 Review with a teammate, fix typos, run tests 15 min
⚡ The SchemaLens way
Paste. Compare. Migrate.
-
1
Paste your old and new
CREATE TABLEschemas 1 min - 2 Get a visual diff showing every added, removed, and changed object instant
- 3 Copy the generated migration SQL in your dialect instant
- 4 Review the breaking-change warnings and rollback script 2 min
- 5 Add the GitHub Action to catch schema changes in every PR 5 min setup
Calculate your savings
Adjust the numbers to match your team. The calculator updates instantly.
Your workflow
Annual impact
Stop paying the manual-diff tax
SchemaLens is free forever for browser diffs. Pro adds exports, history, shareable links, and 80+ tools. Add it to your CI/CD pipeline and never miss a breaking schema change again.
Frequently asked questions
Is the web diff really free?
Yes. Paste two schemas, get the visual diff, full migration SQL, rollback script, and ORM export — no account, no limits, no catch.
What does Pro add?
Pro ($39 lifetime) adds exports (Markdown, PDF, JSON, SQL), saved diff history, shareable links, and access to all 80+ micro-tools including this calculator.
How does the GitHub Action help?
The SchemaLens GitHub Action runs on every PR, comments the schema diff, reports breaking changes, and archives a self-contained HTML report. It catches schema drift before it reaches production.
Do I need a credit card to try it?
No. The browser tool is free. The GitHub Action is free. Pro is a one-time purchase through Gumroad.
Savings estimates are based on the inputs above and assume every schema change is reviewed. Actual savings depend on team size, migration complexity, and incident history.