Testing
Supabase is developer-friendly by design. The PostgreSQL database, authentication, real-time subscriptions, and storage work seamlessly from day one. That ease of setup can obscure the fact that Supabase has real limits — connection counts, query performance under load, RLS policy overhead, storage transfer caps. Stress testing Supabase means finding
Database
* Use the expand/contract pattern: never rename or drop in a single migration * Test backward compatibility by running old app code against the new schema before cutover * Shadow tables let you verify data integrity without touching production reads/writes * Index migrations must be tested for lock acquisition time, not just
Testing
At 10 tests, test data management is easy. You have a few fixture files, maybe a before_each that resets a table or two, and everything works.
Database
* Rollback scripts are code — they need their own tests, not just "we checked it in staging once" * Flyway Teams has undo migrations; Liquibase has rollback — both must be explicitly tested * Snapshot-based rollback (restore from backup) is different from script-based rollback — test both * Data preservation tests verify
Testing
Azure Cosmos DB is a globally distributed, multi-model database with unique behavior around partition keys, request units (RU/s), consistency levels, and the change feed. Testing these behaviors requires both local emulation and integration tests against the real service. This guide covers both. The Cosmos DB Emulator Microsoft provides
Database
Most teams test their application code thoroughly and their migrations almost not at all.
Testing
Most Python database test suites share the same set of mistakes. Tests that mock Session.query(). Fixtures that share state between tests.
Testing
asyncpg is the fastest PostgreSQL driver for Python—but testing async database code correctly requires more setup than the synchronous equivalent.
Android
Room is Android's recommended database library, wrapping SQLite with type-safe query builders and Kotlin coroutines support.
Database
Goose is the most widely-used database migration tool in the Go ecosystem, but its simplicity makes it easy to ship migrations without testing them. This guide covers a complete testing strategy using testcontainers-go, Go's standard testing package, up/down migration verification, and SQL assertion patterns that
Database
Alembic is the standard database migration tool for SQLAlchemy applications, but its revision system is easy to break silently. This post covers a complete pytest-based testing strategy: upgrade and downgrade testing with real databases, Testcontainers for isolated environments, SQLAlchemy fixture patterns, and idempotency verification to catch the errors that
Database
Atlas brings declarative schema management to database migrations, letting you define what your schema should look like rather than how to get there. This post covers automated schema validation with atlas schema diff, lint-driven migration safety checks, CI/CD pipeline integration, and drift detection to keep your database and