Compare database schemas before migration
Diff two database schema snapshots in your browser so you can spot table, column, type, and index changes before a migration review.
Open the tool, then paste the sample input below. Everything runs locally in your browser.
The problem
Schema changes often arrive as long DDL files or exported definitions. Before approving a migration, reviewers need to see which tables changed, whether columns were dropped, and which differences might require a manual migration step.
Sample input
Before:
CREATE TABLE users (id uuid PRIMARY KEY, email text NOT NULL);
After:
CREATE TABLE users (id uuid PRIMARY KEY, email text NOT NULL, last_login timestamptz);
Expected output
Added column: users.last_login timestamptz
No removed tables
No removed columns
How to do it
- Paste the current schema in the left input.
- Paste the proposed schema in the right input.
- Run the diff.
- Review added, removed, and changed objects.
- Copy the summary into your migration review.
Common mistakes
- Comparing generated SQL that includes environment-specific comments.
- Ignoring removed nullable columns because the migration still applies.
- Reviewing only table names and missing type changes.
- Not checking indexes and constraints after column changes.
Related tools
FAQ
Can I compare production and staging schemas?
Yes. Paste exported schema text from each environment. The comparison runs locally in your browser.
Does this run SQL against my database?
No. It compares pasted schema text and does not connect to any database.
What should I check before approving a migration?
Look for dropped columns, type changes, renamed objects, and missing indexes or constraints.
Is my data uploaded anywhere?
No. This workflow runs locally in your browser unless you explicitly copy or share the result yourself.
This guide uses browser-local tooling. Avoid pasting production secrets unless you understand what the tool displays and shares.
Continue with adjacent browser-based tools for the same workflow.
Compare schemas before a migration: quick answer
Use this workflow when two CREATE TABLE dumps, migration previews, or ORM-generated schemas need a quick review before release. Paste or load the artifact into the linked tool, run the local check, then copy only the safe result or summary into your PR, ticket, or test notes.
What to verify
Look for dropped columns, type changes, nullable changes, default changes, and indexes that are missing from one side. If a result will be shared outside your team, run a privacy or secret scan first and replace real values with safe examples.
Recommended next steps
- Open Database Schema Diff for the main task.
- Use SQL Formatter when you need a second validation pass.
- Return to Use Cases to find related workflows for the same artifact.
Practical example and expected result
Diff two database schema snapshots in your browser so you can spot table, column, type, and index changes before a migration review. In practice, this is most useful when you need a quick, repeatable check on a schema document before adding it to a ticket, pull request, test fixture, or support note.
A realistic input for this workflow is Before: CREATE TABLE users (id uuid PRIMARY KEY, email text NOT NULL); After: CREATE TABLE users (id uuid PRIMARY KEY, email text NOT NULL, .... The expected result should resemble Added column: users.last_login timestamptz No removed tables No removed columns, with the same important values preserved.
Troubleshooting checklist
- Confirm you copied the complete schema document and not only a partial line or truncated preview.
- Run the local tool once with a safe sample, then repeat with the real data only if your team policy allows it.
- Check quoting, escaping, whitespace, encoding, timestamps, and environment-specific values before trusting the result.
- Before sharing output, remove secrets, tokens, cookies, customer data, and production hostnames that are not needed for the review.
Next useful steps
- Open this example in Database Schema Diff → for a related validation or follow-up step.
- SQL Formatter for a related validation or follow-up step.
- Compare Environments for a related validation or follow-up step.
- Use Magic Box when you are not sure which tool should handle the next artifact.