Software Craftsmanship

The Postgres vs MongoDB Decision Tree That Ends All Arguments

The Postgres vs MongoDB Decision Tree That Ends All Arguments

Stop the database holy wars. Here's the ultimate decision tree: 🌳

Choose PostgreSQL if: • You need ACID transactions • Your data has relationships • You want mature ecosystem & tooling • You need complex queries (JOIN operations) • Data integrity is critical • You want SQL familiarity across your team • You're building financial, e-commerce, or ERP systems

Choose MongoDB if: • Your data is truly document-oriented • Schema needs to evolve rapidly • You're building content management systems • You need horizontal scaling out of the box • Your team is more comfortable with JSON • You're prototyping and need flexibility

Plot Twist: PostgreSQL now supports JSON documents beautifully. You can have ACID transactions AND flexible schemas. It's like having your cake and eating it too. 🍰

The Real Decision Factors:

  1. Team expertise (Don't fight your team's strengths)
  2. Query patterns (Relational vs document retrieval)
  3. Scaling requirements (Vertical vs horizontal)
  4. Consistency needs (Eventual vs strong consistency)

Pro Tip: Start with PostgreSQL. You can always add MongoDB later for specific use cases. It's harder to retrofit ACID properties into a NoSQL design.

The best database is the one your team can operate successfully in production.

What's your go-to database choice? 💾

#Database#PostgreSQL#MongoDB#SystemDesign#SoftwareArchitecture