Stored Procedures vs ORM: Performance vs Flexibility
Stored procedures vs ORMs: a practical comparison of latency, transactions, consistency, testing, deployment, and horizontal scaling costs.
Concepts and best practices for schema management across SQL dialects.
Stored procedures vs ORMs: a practical comparison of latency, transactions, consistency, testing, deployment, and horizontal scaling costs.
How MySQL and ClickHouse schemas differ: engine families, no indexes/FKs/triggers, Nullable() typing, and what to check before migrating.
How Db2 and PostgreSQL schemas differ — identity columns, tablespaces, naming, and types — plus a practical sequence for migrating safely.
Azure SQL Database and SQL Server share T-SQL syntax but diverge on collation, cross-database queries, instance-level objects, and tier limits. Here's what breaks.
How MariaDB and PostgreSQL schemas diverge on sequences, types, and casing, and how to generate a safe migration script instead of hand-translating DDL.
How the expand/contract (parallel change) pattern splits risky schema changes into safe phases, with a worked example and how to generate the SQL for each step.
How auto-increment, identity columns, and sequences differ across MySQL, PostgreSQL, SQL Server, Oracle, and Db2 — and where cross-dialect migrations break.
Migrating SQL Server schemas to Oracle: data type mapping, IDENTITY to sequences, identifier case rules, the empty-string trap, and generating safe migration DDL.
A practical guide to migrating Oracle schemas to PostgreSQL: data type mapping, sequences and identity columns, PL/SQL objects, and generating safe migration SQL.
How to compare and migrate a database schema from SQL Server to PostgreSQL — identity columns, data types, and schema-qualified objects.