databases

Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems. Use when: Best for: Content management, catalogs, IoT time series, real-time analytics, mobile apps, user profiles Best for: Financial systems, e-commerce transactions, ERP, CRM, data warehousing, analytics Database utility scripts in scripts/ : MongoDB: PostgreSQL: - Designing database schemas and data models - Writing queries (SQL or MongoDB query language) - Building aggregation pipelines or complex joins - Optimizing indexes and query performance - Implementing database migrations - Setting up replication, sharding, or clustering - Configuring backups and disaster recovery - Managing database users and permissions - Analyzing slow queries and performance issues - Administering production database deployments - Schema flexibility: frequent structure changes, heterogeneous data - Document-centric: natural JSON/BSON data model - Horizontal scaling: need to shard across multiple servers - High write throughput: IoT, logging, real-time analytics - Nested/hierarchical data: embedded documents preferred - Rapid prototyping: schema evolution without migrations - Strong consistency: ACID transactions critical - Complex relationships: many-to-many joins, referential integrity - SQL requirement: team expertise,...