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MySQL vs PostgreSQL

MySQL and PostgreSQL are the world's two most popular open-source relational databases, powering millions of applications worldwide. MySQL is known for its speed, simplicity, and massive adoption (WordPress, Facebook, Uber), while PostgreSQL is renowned for its standards compliance, advanced features, and extensibility (Apple, Instagram, Stripe). Choosing between them affects your data modeling flexibility, query capabilities, and long-term scalability.

Quick Overview

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MySQL

MySQL is the world's most popular open-source relational database, now owned by Oracle. Known for its speed, reliability, and ease of use, MySQL powers many of the internet's largest applications. With multiple storage engines (InnoDB, MyISAM), strong replication capabilities, and massive community support, MySQL remains a top choice for web applications.

Key Strengths

  • Excellent read performance and speed for web workloads
  • Simplest setup and administration of any major RDBMS
  • Massive community, tutorials, and hosting provider support
  • Multiple storage engines for different optimization strategies
  • Battle-tested replication and clustering (Group Replication, InnoDB Cluster)
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PostgreSQL

PostgreSQL is the world's most advanced open-source relational database, known for its reliability, feature robustness, and standards compliance. It supports advanced data types (JSONB, arrays, hstore), full-text search, GIS data (PostGIS), and has a powerful extension ecosystem. PostgreSQL is the database of choice for complex, data-intensive applications.

Key Strengths

  • Most SQL-compliant open-source database with advanced query capabilities
  • Superior JSONB support β€” effectively a document database too
  • Extensible architecture (PostGIS, pg_vector, TimescaleDB, Citus)
  • Advanced indexing (GiST, GIN, BRIN) for complex query optimization
  • MVCC concurrency model handles heavy write loads without locking

Detailed Comparison

Side-by-side analysis of key technical categories to help you make an informed decision.

CategoryMySQLPostgreSQL
PerformanceTraditionally faster for simple read-heavy workloads. InnoDB buffer pool provides excellent caching. Optimized for web application query patterns.Superior performance for complex queries, joins, and write-heavy workloads. Advanced query planner makes better optimization decisions for complex SQL.
FeaturesCovers standard relational needs well. JSON support exists but is less mature than PostgreSQL's JSONB. Window functions, CTEs, and lateral joins now supported.Feature-rich: JSONB, arrays, range types, full-text search, window functions, CTEs, materialized views, table inheritance, custom types, and extensions.
JSON/DocumentJSON and JSON_TABLE support in MySQL 8+. Functional but less performant and flexible than PostgreSQL's JSONB. Adequate for simple JSON storage.JSONB is a first-class binary JSON type with indexing (GIN), querying, and update operators. Effectively gives you document database capabilities within a relational database.
ExtensibilityPlugin system for storage engines and authentication. Less extensible than PostgreSQL. Relies on MySQL forks (MariaDB, Percona) for advanced features.Highly extensible with custom types, operators, functions, and extensions. PostGIS (geospatial), pg_vector (AI embeddings), TimescaleDB (time-series), Citus (distributed) add specialized capabilities.
ReplicationStrong replication story: async, semi-sync, Group Replication, InnoDB Cluster, MySQL Router. Well-documented and battle-tested at massive scale.Streaming replication, logical replication, and multiple third-party solutions (Patroni, Citus). Reliable but historically more complex to set up than MySQL replication.
Hosting & EcosystemAvailable everywhere: AWS RDS, PlanetScale, Vitess, every shared host. WordPress ecosystem alone ensures massive tooling support.Available on all major clouds: AWS RDS, Supabase, Neon, Railway. Growing ecosystem with Supabase bringing PostgreSQL to a new generation of developers.

When to Use Each Technology

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Choose MySQL When

  • Web applications where read performance is critical (CMS, e-commerce)
  • Teams that prioritize simplicity and easy administration
  • Projects using MySQL-first frameworks (WordPress, Laravel, Rails)
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Choose PostgreSQL When

  • Complex applications requiring advanced SQL features and data types
  • Projects needing both relational and document-style data storage
  • Geospatial, time-series, or analytics-heavy workloads

Our Verdict

PostgreSQL is our default recommendation for new projects in 2026. Its advanced features, JSONB support, extensibility, and standards compliance make it the more versatile choice that grows with your application. MySQL remains excellent for read-heavy web applications, WordPress/Laravel projects, and situations where simplicity and broad hosting support matter. Both databases are reliable, performant, and production-proven β€” but PostgreSQL gives you more room to grow.

Frequently Asked Questions

Should I use MySQL or PostgreSQL for my startup?

PostgreSQL for most new startups in 2026. It's the default choice for modern stacks (Supabase, Railway, Render) and gives you advanced features you'll eventually need β€” JSONB for flexible schemas, full-text search, and extensions like pg_vector for AI features. MySQL is fine if you're using WordPress or a MySQL-first framework.

Is PostgreSQL harder to learn than MySQL?

Slightly, but the difference is minimal for basic usage. Both use SQL. PostgreSQL has more features to learn, but you don't need them all at once. The excellent documentation and widespread adoption mean learning resources are abundant for both.

Can I migrate from MySQL to PostgreSQL?

Yes, but it requires effort. Tools like pgLoader automate most of the data migration. The main challenges are SQL syntax differences (especially around auto-increment vs SERIAL/IDENTITY, quoting, and date functions) and application code changes. Plan for thorough testing.

Which database is better for AI applications?

PostgreSQL, thanks to the pg_vector extension that enables vector similarity search for AI embeddings directly in your database. This eliminates the need for a separate vector database (Pinecone, Weaviate) for many use cases. MySQL has no equivalent native vector search capability.

Need Help Choosing?

Our engineers can evaluate both options against your specific requirements, team skills, and business goals to recommend the best fit.

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