MongoDB vs PostgreSQL
Comparación detallada para ayudarte a elegir la herramienta correcta en 2026
🏆 Veredicto Rápido
Ganador: PostgreSQL
PostgreSQL is the better default choice for most applications due to its versatility, data integrity, and ability to handle both relational and JSON data. MongoDB is better for truly document-oriented workloads that need flexible schemas and horizontal scaling.
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📊 Visual Comparison
Comparación de Puntuación General
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MongoDB Destacados
- ✅ Flexible schema — no rigid table definitions required
- ✅ Horizontal scaling with built-in sharding
- 💰 Free / $57/month (dedicated)
PostgreSQL Destacados
- ✅ Full ACID compliance with robust transactions
- ✅ Advanced SQL features (CTEs, window functions, etc.)
- 💰 Free (self-hosted)
Comparación de características
| Feature | MongoDB | PostgreSQL |
|---|---|---|
| Data Model | Document (JSON/BSON) | Relational + JSON (JSONB) |
| Schema | Flexible/Schemaless | Strict with migrations |
| ACID Transactions | Multi-document (since 4.0) | Full |
| Joins | $lookup (limited) | Full SQL joins |
| Scaling | Horizontal (sharding) | Vertical (read replicas for horizontal) |
| Replication | Replica sets | Streaming + logical |
| Full-text Search | Atlas Search | Built-in (tsvector) |
| Managed Cloud | MongoDB Atlas | Neon, Supabase, RDS, etc. |
| Drivers | 20+ languages | All major languages |
| Time-series | ✓ | Via TimescaleDB |
| Change Streams | ✓ | LISTEN/NOTIFY |
| Aggregation | Pipeline framework | SQL GROUP BY + window functions |
¿Qué es MongoDB?
MongoDB is the leading NoSQL document database. It stores data in flexible, JSON-like documents and is designed for scalability, high availability, and rapid development with schema-less data models.
✅Ventajas
- •Flexible schema — no rigid table definitions required
- •Horizontal scaling with built-in sharding
- •Excellent for rapid prototyping and agile development
- •Native JSON document storage
- •MongoDB Atlas offers a fully managed cloud service
- •Rich query language and aggregation pipeline
❌Desventajas
- •No native joins (requires $lookup or denormalization)
- •ACID transactions are more limited than relational DBs
- •Can lead to data duplication without careful modeling
- •Higher storage overhead for structured data
- •Not ideal for complex relational data
¿Qué es PostgreSQL?
PostgreSQL is the world's most advanced open-source relational database. Known for its reliability, feature richness, and SQL compliance, it supports both relational and JSON data with strong ACID guarantees.
✅Ventajas
- •Full ACID compliance with robust transactions
- •Advanced SQL features (CTEs, window functions, etc.)
- •Supports both relational and JSON data (JSONB)
- •Excellent data integrity with constraints and types
- •Massive extension ecosystem (PostGIS, pgvector, etc.)
- •Completely free and open-source
❌Desventajas
- •Vertical scaling primarily (horizontal is complex)
- •More rigid schema requirements
- •Can be slower for simple read-heavy workloads
- •Configuration tuning needed for optimal performance
- •Less intuitive for developers new to SQL
Comparación de precios
MongoDB
Free / $57/month (dedicated)
Free tier (Atlas) / Self-hosted free
✓ Plan gratuito disponibleView detailed pricing →📊Análisis en Profundidad: MongoDB vs PostgreSQL
Elegir entre MongoDB y PostgreSQL puede ser desafiante, ya que ambas herramientas ofrecen características atractivas para flujos de trabajo modernos. En esta comparación completa, analizaremos cada aspecto para ayudarte a tomar una decisión informada.
MongoDB
MongoDB is the leading NoSQL document database. It stores data in flexible, JSON-like documents and is designed for scalability, high availability, and rapid development with schema-less data models.
PostgreSQL
PostgreSQL is the world's most advanced open-source relational database. Known for its reliability, feature richness, and SQL compliance, it supports both relational and JSON data with strong ACID guarantees.
🎯Mejores Casos de Uso
Cuándo elegir MongoDB
- ✓Para Equipos:
Flexible schema — no rigid table definitions required
- ✓Para Pequeñas Empresas:
Horizontal scaling with built-in sharding
- ✓Para Empresas:
Excellent for rapid prototyping and agile development
Cuándo elegir PostgreSQL
- ✓Para Individuos:
Full ACID compliance with robust transactions
- ✓Para Pequeñas Empresas:
Advanced SQL features (CTEs, window functions, etc.)
- ✓Para Equipos:
Supports both relational and JSON data (JSONB)
🔍Análisis Profundo de Características
Data Model
Schema
ACID Transactions
Joins
Scaling
Replication
💰Análisis de Precios
MongoDB
Free tier (Atlas) / Self-hosted free
✅ Free tier availablePostgreSQL
Free and open-source
✅ Free tier available💡 Pro Tip
Both tools offer free trials or tiers. We recommend testing both with your actual workflow before committing to a paid plan.
🏆Nuestra Recomendación
Después de un análisis y pruebas extensas, esta es nuestra opinión: Tanto MongoDB como PostgreSQL son excelentes herramientas que pueden mejorar significativamente tu productividad. La mejor elección depende de tus necesidades específicas.
Choose MongoDB if:
You have truly unstructured data, need horizontal scaling, or are building real-time applications where schema flexibility is essential.
Choose PostgreSQL if:
You want robust data integrity, need complex queries and joins, or are building a typical web application where data relationships matter.
Preguntas frecuentes
For simple document reads and writes, MongoDB can be faster. For complex queries involving joins and aggregations, PostgreSQL typically outperforms. Real-world performance depends heavily on data modeling and indexing.
Veredicto final: ¿Cuál deberías elegir?
✨ Elige MongoDB si
You have truly unstructured data, need horizontal scaling, or are building real-time applications where schema flexibility is essential.
✨ Elige PostgreSQL si
You want robust data integrity, need complex queries and joins, or are building a typical web application where data relationships matter.