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sqldef review

Free#9 of 32 in Database Migration Tools

A focused open-source CLI for declarative schema comparison, previews, and SQL migrations.

8.0/10Editor score
sqldef8.0 Visit sqldef

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

sqldef is a command-line schema management tool for teams that define database structure in plain SQL. It compares a desired SQL schema with a current database or SQL file, generates DDL changes, and can apply those migrations. Support covers MySQL, MariaDB, TiDB, PostgreSQL, SQL Server, and SQLite3, with database-specific binaries for Windows, macOS, and Linux. Web distribution, Docker images, offline file-to-file comparisons, and schema export make it suitable for SQL-focused development and operations teams that want an open-source migration workflow.

The strongest fit is a declarative process built around reviewable SQL. sqldef can preview changes with dry-run mode, handle destructive changes only when drop enablement is explicit, and compare schemas without connecting to a live database through offline mode. It also supports rollback according to its category specifications, while the migration format remains SQL rather than a proprietary representation. These capabilities make the tool useful when teams want schema differences and generated DDL to remain visible in source control. Teams that prefer a graphical migration builder or a managed service should look elsewhere.

For delivery workflows, sqldef includes schema drift checks for CI gates and pull-request migration previews through GitHub Actions. Docker support provides another deployment option, and the project is distributed as open-source binaries and Docker images rather than paid plan tiers. That model keeps the tool focused on its core comparison and migration functions, but places more responsibility on teams to choose the appropriate binary, manage execution, and maintain SQL-based workflows. sqldef is a strong choice for engineering teams comfortable with command-line tools and declarative schemas; it is less suitable for buyers seeking extensive built-in administration, AI assistance, or a broad managed platform.

sqldef pros and cons

  • Where it wins
    • Generates DDL from desired and current schema differences
    • Dry runs and explicit drop enablement help control destructive changes
    • GitHub Actions previews and drift checks support CI workflows
  • Where it doesn't
    • Command-line workflow requires comfort with SQL and migration files
    • Database-specific binaries may add tool-selection work across engines
    • No AI features or paid-tier ecosystem for teams seeking managed services

sqldef fact sheet, pricing and score →

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