🔥 The manual way

What most teams do today

  • 1 Dump schemas with pg_dump or mysqldump 5 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
  • 4 Write ALTER TABLE scripts 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 TABLE schemas 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

4 people
6 migrations
60 min
5 min

Annual impact

Hours spent manually per year 288 h
Hours with SchemaLens per year 24 h
Time saved per year 264 h
Cost saved per year $19,800
SchemaLens Pro cost $39
$19,761
Net savings in year one with Pro

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.