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PostgreSQL vs MySQL 2025: Complete Database Comparison

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The Ultimate Database Showdown (2025) PostgreSQL vs MySQL

PostgreSQL vs MySQL

Round 1: The Fighters Enter the Ring

Picture this: you're standing at the character select screen of Street Fighter II, deciding between Ryu and Ken for the ultimate showdown. In the blue corner, we have PostgreSQL – the advanced, feature-packed heavyweight with the precision of Ryu's disciplined fighting style. In the red corner, MySQL – the speedy, reliable champion that attacks with Ken's lightning-fast combos, dominating web applications since the LAMP stack era.

Welcome to the first installment of our database showdown series, where we'll pit the biggest names in data storage against each other in epic battles for supremacy. Just like choosing your fighter in Street Fighter II, picking between these database titans can make or break your application's performance. But unlike those classic Nintendo battles, this isn't about button mashing – it's about understanding which database aligns with your project's unique needs.

Over the coming months, we'll be bringing you more head-to-head comparisons between database technologies, each with their own unique strengths and use cases. Today's championship bout features two of the most popular open-source relational databases that have been competing for developer mindshare for decades.

Understanding the Contenders

PostgreSQL: The Advanced Strategist

PostgreSQL, with 45.55% usage compared to MySQL's 41.09%, has been steadily gaining ground as developers recognize its sophisticated capabilities. In 2024, Postgres ranked the 2nd after Snowflake in the DB-Engines Ranking, one year after it took over Snowflake and won DBMS of the Year 2023.

Born from academic roots at UC Berkeley in 1996, PostgreSQL has evolved into an object-relational database management system (ORDBMS) that goes beyond traditional relational databases. PostgreSQL is an object-relational database management system that offers more features than MySQL. It gives you more flexibility in data types, scalability, concurrency, and data integrity.

MySQL: The Reliable Champion

MySQL has even managed to leapfrog Microsoft SQL server as one of the top 2 RDBMS options in 2024. Created in 1995, MySQL has become the backbone of countless web applications worldwide. MySQL is the world's most commonly used Relational Database Management System (RDBMS). Boasting the second-highest usage rate among developers in 2023, this open-source RDBMS is known for providing organizations with fast, reliable, stable, secure, and scalable data management.

Round 2: Feature Comparison Battle

Performance and Speed

The performance battle between these databases is like comparing Mario's balanced stats to Sonic's pure speed focus. According to recent benchmarks, PostgreSQL is crushing it with speeds about 1.6 times faster than MySQL across most operations, especially in complex query scenarios. However, MySQL's strength still holds when it comes to read-heavy workloads, making it perfect for straightforward web applications.

MySQL excels in managing read-only commands and is faster for processing read-only queries whereas PostgreSQL is suitable for read-write operations, large datasets, and complex queries.

ACID Compliance and Data Integrity

Think of ACID compliance like the invincibility star in Super Mario Bros – it protects your data from corruption. MySQL offers ACID compliance only when you use it with InnoDB and NDB Cluster storage engines or software modules. PostgreSQL is fully ACID compliant in all configurations.

While both databases are ACID-compliant, PostgreSQL is often highlighted for its stricter adherence, offering robust transaction control and complex multi-operation transaction support – features that are vital for critical enterprise applications.

Concurrency Control

Multiversion concurrency control (MVCC) is an advanced database feature that creates duplicate copies of records to safely read and update the same data in parallel. MVCC varies by Storage Engine in MySQL. For example, MVCC is fully supported when you use the InnoDB storage engine. MVCC is not supported in the MyISAM storage engine. PostgreSQL supports MVCC in all configurations.

Round 3: Technical Capabilities Showdown

Advanced Features Comparison

PostgreSQL is like having access to all the power-ups in Mega Man – it supports an extensive arsenal of advanced capabilities. Here's how the technical features stack up:


Technical Feature PostgreSQL MySQL
JSON Support
Full operators, indexing, advanced queries
Basic JSON column support
CTE (Common Table Expressions)
SELECT, UPDATE, INSERT, DELETE inside/following CTE
SELECT inside ›CTE, SELECT/UPDATE/DELETE following
Window Functions
ROWS and RANGE frame types, all range units
ROWS frame type only, limited range units
Custom Data Types
Arrays, XML, geometric types, user-defined types
Standard types with some JSON capabilities
Full-Text Search
Built-in with ranking, stemming, phrase search
Basic full-text search capabilities
Stored Procedures
Multiple languages (SQL, PL/pgSQL, Python, etc.)
Primarily SQL-based procedures
Views
Standard and materialized views with precomputation
Standard views only
Indexing Types B-tree, hash, GIN, GiST, SP-GiST, BRIN
B-tree, hash, R-tree, inverted indexes
Online DDL
Limited (ADD COLUMN, CREATE INDEX CONCURRENTLY)
Comprehensive (INSTANT, INPLACE, COPY algorithms)
Replication
Physical replication using WAL
Logical replication using binlog

Data Type Flexibility

PostgreSQL supports a more extensive set of data types, including arrays, JSON, and geometric types, while MySQL focuses on efficient handling of standard data types that cover most common use cases. PostgreSQL's approach caters to applications requiring detailed data representation, making it particularly well-suited for specialized or technically demanding applications.

Both Postgres and MySQL support JSON column. Postgres supports more features including more operators to access JSON features and the ability to create indexes on JSON fields. This advanced JSON support makes PostgreSQL ideal for applications that heavily rely on semi-structured data.

Round 4: Licensing and Community

Open Source Philosophy

MySQL community edition is licensed under GPL. Postgres is released under the PostgreSQL license which is a liberal Open Source license similar to the BSD or MIT licenses. Even though MySQL adopts GPL, some people still are concerned that MySQL is owned by Oracle. It's also the reason that MariaDB is forked from MySQL.

Community Support

Both databases benefit from strong community support, but with different characteristics. PostgreSQL's community tends to focus on advanced features and academic rigor, while MySQL's community emphasizes practical web development solutions.

Round 5: Use Case Scenarios

When to Choose PostgreSQL

PostgreSQL shines like Link's Master Sword in complex scenarios:

  • Complex Applications: PostgreSQL is highly recommended for complex applications or those dealing with large volumes of data
  • Data Integrity Critical Systems: PostgreSQL, being fully ACID-compliant and enterprise-grade, is both developer and DBA-friendly. It is the best choice for high-transactional and complex applications across any domain
  • Advanced Query Requirements: Postgres has a better query optimizer

When to Choose MySQL

MySQL is perfect like choosing Yoshi for speed runs:

  • Web Applications: MySQL is the go-to choice for scalable web applications. It comes standard in the LAMP stack
  • Read-Heavy Workloads: MySQL offers fewer features than PostgreSQL, but this allows MySQL to stay lighter, more stable, and faster at processing—especially when it comes to read-only queries
  • Simple Applications: MySQL is suitable for simple web applications that handle smaller volumes of data on a fault-tolerant database

The Final Boss: How Liquibase Changes the Game

Here's where the plot twist comes in – just like discovering the warp zone in Super Mario Bros, Liquibase transforms how you approach database management regardless of whether you choose PostgreSQL or MySQL.

Universal Database DevOps

Liquibase acts like the universal controller that works with any gaming console. With support for 60+ databases including both PostgreSQL and MySQL, Liquibase ensures your database change management strategy isn't locked into a single platform.

Enterprise-Grade Features for Both Databases

Automated Change Management: Liquibase secures every change with authentication, secrets integration, drift detection, and rollback capabilities that work seamlessly with both PostgreSQL and MySQL.

Policy Enforcement: Like having a built-in Game Genie that prevents harmful changes, Liquibase's customizable policy checks enforce security and compliance without slowing developers down, whether you're working with PostgreSQL's complex transactions or MySQL's high-speed queries.

Advanced Drift Detection: Liquibase proactively monitors and alerts team members when database drift is detected across both PostgreSQL and MySQL environments, ensuring your databases stay synchronized across all environments.

Real-World Success Stories

Global Financial Services Institution demonstrates how Liquibase's security-first approach works across database platforms. This major financial institution faced a chaotic, error-prone database deployment process that brought their application release pipeline to a crawl. With highly sensitive financial data subject to privacy, security, and compliance measures across numerous countries, they needed a DevSecOps solution that could handle both PostgreSQL's enterprise security features and MySQL's web-scale performance. By implementing Liquibase across 30+ application pipelines, they automated database change management while maintaining strict governance, enabling them to scale securely across hybrid and cloud environments.

Leading EdTech Company showcases Liquibase's compliance capabilities in high-stakes environments. This country's biggest online education platform struggled with manual database changes that took nearly a week and created serious SOX compliance challenges. Their 700+ developers depended on Site Reliability Engineers for every database update, creating bottlenecks that stalled innovation. With Liquibase, they achieved 16X faster deployments while strengthening compliance and auditability – benefits that apply whether you're managing PostgreSQL's complex data integrity requirements or MySQL's rapid web application deployments. Learn how they transformed their database DevOps process while maintaining enterprise-grade compliance.

The Liquibase Advantage

Liquibase transforms database management with enterprise-grade features that work seamlessly across both PostgreSQL and MySQL:

Developer Experience Enhancements:

  • Self-Service Deployments: Enable developers to deploy changes independently with built-in safeguards
  • 65% Faster Deployments: Automated workflows eliminate manual handoffs and reduce deployment friction
  • Multi-Format Support: Work with SQL, XML, YAML, or JSON changesets based on team preferences
  • Single-Step CI/CD Integration: Native integration with Jenkins, GitLab, and other popular DevOps tools
  • Reusable Templates: Standardize workflows across teams for consistency and compliance

Risk Management & Governance:

  • 95% Fewer Failures: Advanced drift detection and policy checks prevent issues before deployment
  • Targeted Rollbacks: Select specific changes to undo without affecting other database modifications
  • Policy Enforcement: Custom Python-based checks ensure changes meet security and compliance standards
  • Credential Management: Secure integration with HashiCorp Vault and AWS Secrets Manager
  • Automated Testing: Built-in validation removes complexity and enables "shift-left" testing practices

Operational Intelligence:

  • Comprehensive Observability: Structured logging with customizable data fields for detailed insights
  • Change Traceability: Track every modification across environments with audit-ready reporting
  • DORA Metrics Integration: Built-in templates for measuring deployment frequency and lead times
  • Rapid Incident Resolution: Detailed operational reports enable faster troubleshooting and recovery
  • Proactive Monitoring: Advanced drift detection identifies configuration changes before they cause issues

The Victory Screen: Making Your Choice

Choosing between PostgreSQL and MySQL is like selecting between two legendary gaming franchises – both are excellent, but for different reasons. Consider your specific project requirements when choosing between PostgreSQL and MySQL.

Choose PostgreSQL when you need advanced features, complex queries, strict ACID compliance, and plan to work with large datasets requiring sophisticated data types and operations.

Choose MySQL when you prioritize speed, simplicity, read-heavy workloads, and want to get a web application up and running quickly with proven reliability.

Choose Liquibase for either when you need enterprise-grade database change management that scales across teams, enforces governance, and provides the automation and observability required for modern DevOps practices.

With Liquibase's 15+ years of experience helping global enterprises scale mission-critical database change, you get the best of both worlds – the freedom to choose the right database for your needs while maintaining unified, secure, and automated change management across your entire data infrastructure.

Remember, like the greatest gaming rivalries, the PostgreSQL vs MySQL debate isn't about declaring a winner – it's about understanding which tool serves your quest best. And with Liquibase by your side, you'll have the ultimate power-up for database success, regardless of which database champion you choose.

Key sources referenced throughout this article include AWS's comparison of PostgreSQL vs MySQL databases, Flatirons Development's 2025 database analysis, Nucamp's backend development guide, DataCamp's comprehensive database comparison, and detailed case studies from Liquibase customer implementations.