database-design

Design a scalable database schema by evaluating normalization versus denormalization, choosing primary keys and timestamp strategies, and planning composite index ordering. This ensures applications perform well, scale predictably, and avoid common anti-patterns.

Choosing between PostgreSQL, serverless Neon, or edge SQLite like Turso depends on your deployment context. Evaluate whether you need local embedded storage, global edge distribution, or serverless scaling to make the right database architecture decision.

Execute safe zero-downtime migrations by following structured patterns that prevent locking and data loss. Apply safe online migration strategies to ensure continuous availability while evolving your database schema without interrupting web traffic.

ORM trade-offs for Prisma, Drizzle, Kysely, or SQLAlchemy involve balancing query control, type safety, and migration flexibility. Evaluating these factors helps you select the right ORM for your specific database schema and application requirements.

Your index strategy requires composite index ordering to optimize query performance. Selecting the correct index types and ordering columns properly ensures efficient data retrieval and prevents performance bottlenecks in read-heavy applications.

SQLite is suited for local or embedded needs rather than global read-heavy analytics services. For vector search support and global distribution, you should evaluate serverless options like Neon or PostgreSQL architectures instead.