MySQL vs PostgreSQL 2026: Speed, Features, Scalability
PostgreSQL is a more feature-rich relational database with advanced capabilities like JSON support, full-text search, and window functions, while MySQL prioritizes simplicity and raw speed for web applications. PostgreSQL excels in complex queries and data integrity, whereas MySQL remains the preferred choice for high-concurrency read-heavy workloads.
MySQL
Open-source relational database optimized for web applications with fast read performance and simple architecture.
Web applications, content management systems, high-traffic read-heavy services, rapid prototyping, shared hosting environments, and e-commerce platforms requiring maximum read throughput.
PostgreSQL
Advanced open-source relational database with extensive features for complex queries, data integrity, and analytical workloads.
Business intelligence platforms, data warehouses, financial systems, complex reporting applications, analytics, systems requiring strict data integrity, and applications handling unstructured data with JSON.
Quick Answer
AI SummaryPostgreSQL is a more feature-rich relational database with advanced capabilities like JSON support, full-text search, and window functions, while MySQL prioritizes simplicity and raw speed for web applications. PostgreSQL excels in complex queries and data integrity, whereas MySQL remains the preferred choice for high-concurrency read-heavy workloads.
Our Verdict
AI-assistedChoose PostgreSQL if you need complex queries, advanced data types, strong data integrity guarantees, and sophisticated reporting—it's ideal for analytics, business applications, and systems requiring JSON handling. Choose MySQL if you prioritize simplicity, maximum read throughput, easy horizontal scaling, and rapid development for web applications—it remains superior for high-traffic read-heavy systems like content management and caching layers.
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Choose MySQL if
Best pickWeb applications, content management systems, high-traffic read-heavy services, rapid prototyping, shared hosting environments, and e-commerce platforms requiring maximum read throughput.
Choose PostgreSQL if
Business intelligence platforms, data warehouses, financial systems, complex reporting applications, analytics, systems requiring strict data integrity, and applications handling unstructured data with JSON.
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Key Differences at a Glance
- ACID Compliance:Full ACID with all storage engines (InnoDB default) vs Full ACID compliance by default
- Advanced Data Types:✓ MySQL wins(JSON, Arrays, Ranges, UUID, Geometric types vs Basic data types only (JSON added in 5.7))
- Query Performance (Simple Reads):✓ PostgreSQL wins(Slower on simple queries, optimized for complex ones vs ~15-20% faster on simple SELECT queries)
Key Facts & Figures
60 numeric metrics compared
| Metric | MySQL | PostgreSQL | Ratio |
|---|---|---|---|
| Simple Query Throughput(queries/sec) | ~28,000 (MySQL 8.4) | ~25,000 (PostgreSQL 18) | |
| Complex Join Performance(ms response time) | ~450 (5-table join) | ~320 (5-table join) | |
| Base Memory Footprint(MB) | ~80 (minimal config) | ~150 (minimal config) | |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $13.50 (MySQL 8.4) | $15.25 (PostgreSQL 18) | |
| Supported Versions (2026)(major versions) | 5 (8.0-8.4 active) | 5 (14-18 active) | |
| Replication Lag (typical)(ms) | 5-50 (binary log) | 10-100 (WAL) | |
| Concurrent Connections(connections) | 151 (default, configurable) | — | — |
| Max Database Size(TB) | 140 TB per table | — | — |
| Memory Footprint(MB) | 150-500 MB | — | — |
| Typical Query Response Time(milliseconds) | 5-50 ms (indexed queries) | — | — |
| Average Query Latency (structured data)(ms) | 3-5ms for simple queries | — | — |
| Memory Usage (100GB dataset)(GB) | 8-12GB working set | — | — |
| Years in Production(years) | 25+ years (MySQL 1.0 released 1995) | — | — |
| Write Throughput (single server)(operations/second) | 10,000-50,000 ops/sec | — | — |
| Community Popularity(% of developers) | 46% of web applications (Stack Overflow 2024) | — | — |
| Monthly Cost (10GB, 100K requests)(USD) | $50-200 (self-hosted) | — | — |
| Community Size (Stack Overflow tags)(thousand questions) | 600+ thousand | — | — |
| Read Throughput Improvement(x multiplier) | 1x baseline | — | — |
| Cost (On-Demand, Single Instance/Month)(USD) | $0 (open-source) | — | — |
| Deployment Platforms Supported(count) | 5+ (on-prem, cloud, edge, containers, hybrid) | — | — |
| Read Query Performance (SELECT 1M rows)(seconds) | 2.8s (MySQL 8.0) | — | — |
| Write Performance (INSERT 100K rows)(seconds) | 4.2s (MySQL 8.0) | — | — |
| Storage Engines Available(count) | 2 (InnoDB, MyISAM) | — | — |
| Memory Footprint (Idle instance)(MB) | 145MB | — | — |
| Enterprise Support Cost(USD/year) | $2,500-$50,000 (Oracle) | — | — |
| GitHub Community Activity(stars) | ~4,400 stars | — | — |
| Simple Query Speed (1M rows, SELECT *)(milliseconds) | 45ms (MySQL) | 52ms (PostgreSQL) | |
| Complex Analytical Query Speed (Aggregate + Join)(milliseconds) | 1,200ms (MySQL) | 850ms (PostgreSQL) | |
| Minimum Memory Requirement(MB) | 50MB | 100MB | |
| Maximum Connection Limit (Default)(connections) | 151 | 100 | |
| Developer Preference (2024 Survey)(%) | 53% | 44% | |
| Single-Node Write Throughput(writes/sec) | 35,000 writes/sec | 35,000 writes/sec | |
| Minimum Cluster Size(nodes) | 1 (single instance) | 1 (single instance) | |
| PostgreSQL SQL Compatibility(percent) | 100% (native) | 100% (native) | |
| Self-Hosted Cost (Base)(USD/month) | $0 (open-source) | $0 (open-source) | |
| GitHub Stars(stars) | 3,500+ stars | 3,500+ stars | |
| Production Maturity (Years Active)(years) | 25+ years | 25+ years | |
| Monthly Base Cost (Small Instance)(USD) | $0 (infrastructure cost only) | $0 (infrastructure cost only) | |
| Write Throughput (bulk inserts)(documents/second) | 15,000-25,000 docs/sec | 15,000-25,000 docs/sec | |
| Query Language Complexity (learning curve)(months) | 1-2 months (SQL standardized, widely taught) | 1-2 months (SQL standardized, widely taught) | |
| Memory Usage (100K documents)(MB) | 150-200 MB | 150-200 MB | |
| Index Types Supported(count) | 20+ (B-tree, hash, BRIN, GiST, partial indexes) | 20+ (B-tree, hash, BRIN, GiST, partial indexes) | |
| Maximum Concurrent Connections(connections) | 1,000+ | 1,000+ | |
| Setup Time (Fresh Installation)(minutes) | 30-60 minutes | 30-60 minutes | |
| License Cost (Annual, Small Enterprise)(USD) | $0 | $0 | |
| Max Write Throughput (Optimized)(writes/second) | ~10,000 (single node) | ~10,000 (single node) | |
| Storage Overhead (vs Equivalent Relational)(multiple) | 1x baseline (normalized) | 1x baseline (normalized) | |
| Community Size & Ecosystem(relative rank) | ~15k stars | ~15k stars | |
| Typical Setup Complexity(time to production (hours)) | 2-4 hours (widely supported, simpler setup) | 2-4 hours (widely supported, simpler setup) | |
| Time to Production(minutes) | 120-1440 minutes (self-hosted) | 120-1440 minutes (self-hosted) | |
| Minimum Monthly Cost (Production)(USD) | $20-50 (cloud VM minimum) | $20-50 (cloud VM minimum) | |
| Built-in Authentication Methods(methods) | 0 (requires third-party) | 0 (requires third-party) | |
| Maximum Database Size(items supported) | Unlimited (petabyte+ capable) | Unlimited (petabyte+ capable) | |
| Minimum Monthly Cost(USD) | $0 (open-source) | $0 (open-source) | |
| Production Tier Monthly Base Cost(USD) | $0 (self-hosted only) | $0 (self-hosted only) | |
| Time to Deploy Production Database(minutes) | 240-1440 minutes (4-24 hours) | 240-1440 minutes (4-24 hours) | |
| Monthly Cost (100 GB, moderate traffic)(USD) | $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) | $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) | |
| Available PostgreSQL Extensions(count) | 500+ (all available from PostgreSQL ecosystem) | 500+ (all available from PostgreSQL ecosystem) | |
| Cold Start Latency(ms) | 0 seconds (always running) | 0 seconds (always running) | |
| Community Size & Support(user base estimate) | 10,000,000+ deployments globally | 10,000,000+ deployments globally |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- Full ACID with all storage engines (InnoDB default)ACID ComplianceFull ACID compliance by default
- JSON, Arrays, Ranges, UUID, Geometric types(winner)Advanced Data TypesBasic data types only (JSON added in 5.7)
- ~15-20% faster on simple SELECT queriesQuery Performance (Simple Reads)Slower on simple queries, optimized for complex ones(winner)
- Native full-text search with ranking and relevance(winner)Full-Text SearchBasic full-text search capability
- Statement-based, Row-based, or Mixed replication(winner)Replication ComplexityLogical and physical replication with streaming
- 53% of surveyed developers use MySQLMarket Adoption (2024)44% of surveyed developers use PostgreSQL(winner)
- Free (open-source) or ~$1,000-5,000 for commercial supportEnterprise Support Cost (Annual)Free (open-source) or ~$2,000-8,000 for enterprise support(winner)
- ACID Compliance
MySQL
Full ACID with all storage engines (InnoDB default)
PostgreSQL
Full ACID compliance by default
- Advanced Data Types
MySQL
JSON, Arrays, Ranges, UUID, Geometric types(winner)
PostgreSQL
Basic data types only (JSON added in 5.7)
- Query Performance (Simple Reads)
MySQL
~15-20% faster on simple SELECT queries
PostgreSQL
Slower on simple queries, optimized for complex ones(winner)
- Full-Text Search
MySQL
Native full-text search with ranking and relevance(winner)
PostgreSQL
Basic full-text search capability
- Replication Complexity
MySQL
Statement-based, Row-based, or Mixed replication(winner)
PostgreSQL
Logical and physical replication with streaming
- Market Adoption (2024)
MySQL
53% of surveyed developers use MySQL
PostgreSQL
44% of surveyed developers use PostgreSQL(winner)
- Enterprise Support Cost (Annual)
MySQL
Free (open-source) or ~$1,000-5,000 for commercial support
PostgreSQL
Free (open-source) or ~$2,000-8,000 for enterprise support(winner)
Full Comparison
| Attribute | MySQL | PostgreSQL |
|---|---|---|
| ACID Compliance Level | Partial (InnoDB only) | Complete (all operations) |
| Uptime SLA(percent) | User-dependent (no guarantee) | — |
| Multi-row/Document Transactions(null) | Full multi-statement ACID | — |
| Automatic Daily Backups(boolean) | Not included - manual setup required | — |
| Simple Query Throughput(queries/sec) | ~28,000 (MySQL 8.4)(winner) | ~25,000 (PostgreSQL 18) |
| Complex Join Performance(ms response time) | ~450 (5-table join) | ~320 (5-table join)(winner) |
| Replication Lag (typical)(ms) | 5-50 (binary log)(winner) | 10-100 (WAL) |
| Concurrent Connections(connections) | 151 (default, configurable) | — |
| Typical Query Response Time(milliseconds) | 5-50 ms (indexed queries) | — |
Show 15 more attributesAverage Query Latency (structured data)(ms) 3-5ms for simple queries — Write Throughput (single server)(operations/second) 10,000-50,000 ops/sec — Read Throughput Improvement(x multiplier) 1x baseline — Read Query Performance (SELECT 1M rows)(seconds) 2.8s (MySQL 8.0) — Write Performance (INSERT 100K rows)(seconds) 4.2s (MySQL 8.0) — Simple Query Speed (1M rows, SELECT *)(milliseconds) 45ms (MySQL) 52ms (PostgreSQL) Complex Analytical Query Speed (Aggregate + Join)(milliseconds) 1,200ms (MySQL) 850ms (PostgreSQL) Single-Node Write Throughput(writes/sec) 35,000 writes/sec — Write Throughput (bulk inserts)(documents/second) 15,000-25,000 docs/sec — Memory Usage (100K documents)(MB) 150-200 MB — Maximum Concurrent Connections(connections) 1,000+ — Max Write Throughput (Optimized)(writes/second) ~10,000 (single node) — Maximum Database Size(items supported) Unlimited (petabyte+ capable) — Auto-scaling Response Time(seconds) Manual; requires 5-60 minutes intervention — Cold Start Latency(ms) 0 seconds (always running) — | ||
| JSON Query Capability | JSON functions only | JSONB with full indexing |
| Full-Text Search | Limited, basic support | Comprehensive native support |
| Time-Series Optimization | Standard table partitioning | TimescaleDB extension native |
| Transaction Support(consistency level) | Full ACID across multiple tables (since v5.7) | — |
| Auto-Scaling Capability | Manual configuration required | — |
Show 11 more attributesStorage Engines Available(count) 2 (InnoDB, MyISAM) — Built-in JSON Support Yes, since 5.7 (basic operations only) Yes, comprehensive with operators and indexing Full-Text Search Capability Basic (limited language support, no stemming) Native with ranking, stemming, 15+ languages Window Functions Support Since 8.0 (limited implementation) Full support with 20+ window functions Index Types Supported(count) 20+ (B-tree, hash, BRIN, GiST, partial indexes) — Query Language Complexity Support(capability level) Full SQL with unlimited JOIN depth and CTEs — Built-in Authentication Methods(methods) 0 (requires third-party) — Real-time Subscriptions Support(native support) Not native - requires extensions — Database Branching Capability Not built-in — Auto-Scaling Support Manual or third-party tools required — Data Portability(level of freedom) Trivial (native format, zero lock-in) — | ||
| Base Memory Footprint(MB) | ~80 (minimal config)(winner) | ~150 (minimal config) |
| Memory Footprint (Idle instance)(MB) | 145MB | — |
| Vector Similarity Support | Via third-party extensions | Native pgvector |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $13.50 (MySQL 8.4)(winner) | $15.25 (PostgreSQL 18) |
| Enterprise Support Cost(USD/year) | $2,500-$50,000 (Oracle) | — |
| License Cost (Annual, Small Enterprise)(USD) | $0 | — |
| Supported Versions (2026)(major versions) | 5 (8.0-8.4 active) | 5 (14-18 active) |
| Enterprise Support Availability | Oracle, multiple vendors | EDB, multiple vendors |
| Enterprise Support(null) | Free open-source; commercial support available | — |
| Max Database Size(TB) | 140 TB per table | — |
| Maximum Read Replicas(instances) | Unlimited (with sharding complexity) | — |
| Maximum Connection Limit (Default)(connections) | 151(winner) | 100 |
| Native Horizontal Scaling | No (requires partitioning/third-party) | — |
| Maximum Connections(concurrent connections) | Unlimited (hardware-dependent) | — |
| Memory Footprint(MB) | 150-500 MB | — |
| Network Access | Yes - TCP/IP protocol | — |
| Horizontal Scalability | Manual sharding (theoretical unlimited) | Manual sharding required |
| Built-in Replication | Yes - master-slave, group replication | — |
| Schema Flexibility | Fixed schema, requires migration for changes | Rigid, requires ALTER TABLE migrations |
| Memory Usage (100GB dataset)(GB) | 8-12GB working set | — |
| Years in Production(years) | 25+ years (MySQL 1.0 released 1995) | — |
| Production Maturity (Years Active)(years) | 25+ years | — |
| Community Popularity(% of developers) | 46% of web applications (Stack Overflow 2024) | — |
| Developer Preference (2024 Survey)(%) | 53%(winner) | 44% |
| Setup Time(minutes) | 240-480 minutes | — |
| Setup Time (Fresh Installation)(minutes) | 30-60 minutes | — |
| Monthly Cost (10GB, 100K requests)(USD) | $50-200 (self-hosted) | — |
| Cost (On-Demand, Single Instance/Month)(USD) | $0 (open-source) | — |
| Self-Hosted Cost (Base)(USD/month) | $0 (open-source) | — |
| Monthly Base Cost (Small Instance)(USD) | $0 (infrastructure cost only) | — |
| Minimum Monthly Cost (Production)(USD) | $20-50 (cloud VM minimum) | — |
Show 3 more attributesMinimum Monthly Cost(USD) $0 (open-source) — Production Tier Monthly Base Cost(USD) $0 (self-hosted only) — Monthly Cost (100 GB, moderate traffic)(USD) $50-200+ (self-hosted infrastructure) or $100-500 (managed provider) — | ||
| Maximum Storage per Database(TB) | Unlimited | — |
| Maximum Storage Capacity(TB) | 64TB (hardware dependent) | — |
| Database Branching Support | Third-party tools only | — |
| Community Size (Stack Overflow tags)(thousand questions) | 600+ thousand | — |
| GitHub Community Activity(stars) | ~4,400 stars | — |
| GitHub Stars(stars) | 3,500+ stars | — |
| Community Size & Ecosystem(relative rank) | ~15k stars | — |
| Backup Automation | Manual configuration required | — |
| Minimum Cluster Size(nodes) | 1 (single instance) | — |
| Deployment Platforms Supported(count) | 5+ (on-prem, cloud, edge, containers, hybrid) | — |
| Vendor Lock-in Risk(risk level) | Zero - 100% portable SQL | — |
| Latest Stable Version (2026)(version number) | MySQL 8.4 LTS | — |
| ACID Compliance(boolean) | Yes (InnoDB) | — |
| Minimum Memory Requirement(MB) | 50MB(winner) | 100MB |
| Multi-Region Failover Time (RTO)(seconds) | Manual, typically 5-15 minutes | — |
| PostgreSQL SQL Compatibility(percent) | 100% (native) | — |
| Query Language Complexity (learning curve)(months) | 1-2 months (SQL standardized, widely taught) | — |
| ACID Transaction Support(boolean) | Full compliance, all operations | — |
| Storage Overhead (vs Equivalent Relational)(multiple) | 1x baseline (normalized) | — |
| Schema Enforcement | Required (schema-on-write) | — |
| Typical Setup Complexity(time to production (hours)) | 2-4 hours (widely supported, simpler setup) | — |
| Time to Production(minutes) | 120-1440 minutes (self-hosted) | — |
| Supported Concurrent Connections (Free Tier)(connections) | Unlimited (depends on installation) | — |
| Maximum Storage (Base Plan)(GB) | Unlimited (hardware dependent) | — |
| Time to Deploy Production Database(minutes) | 240-1440 minutes (4-24 hours) | — |
| Supported Geographic Regions(count) | Unlimited (self-hosted) | — |
| Point-in-Time Recovery Retention(days) | Customizable via WAL archiving | — |
| Available PostgreSQL Extensions(count) | 500+ (all available from PostgreSQL ecosystem) | — |
| Community Size & Support(user base estimate) | 10,000,000+ deployments globally | — |
MySQLPostgreSQLShow 15 more attributes
Show 11 more attributes
Show 3 more attributes
Pros & Cons
10 pros·6 cons across both
MySQL
Pros
- 15-20% faster on simple SELECT queries and high-concurrency read workloads
- Simpler deployment and configuration with smaller memory footprint (~50MB minimum)
- Superior performance for WordPress, Drupal, and web CMS applications
- Excellent horizontal scaling with read replicas for load distribution
- Lower resource consumption makes it ideal for shared hosting environments
Cons
- Limited advanced data types; JSON support is basic compared to PostgreSQL
- Weak full-text search capabilities; most applications use external solutions like Elasticsearch
- Poor handling of complex analytical queries due to limited optimizer
PostgreSQL
Pros
- Native support for JSON, Arrays, Ranges, UUIDs, and Geometric data types enabling complex data modeling
- Superior query optimizer handles complex analytical queries 30-40% faster than MySQL
- Full-text search with ranking, stemming, and multilingual support built-in
- Window functions, CTEs, and recursive queries for advanced analytics
- Stricter ACID compliance and constraint enforcement prevent data corruption
Cons
- 15-20% slower on simple read queries due to complex optimizer overhead
- Higher memory consumption (~100MB minimum) makes it heavier than MySQL
- Steeper learning curve for database administration and query optimization
Frequently Asked Questions
5 questions
For simple read queries, MySQL is 15-20% faster with lower latency (~45ms vs ~52ms for 1M row scans). However, PostgreSQL dominates complex analytical queries with aggregate functions and joins, executing them 30-40% faster (~850ms vs ~1,200ms). Choice depends on your workload: MySQL for read-heavy web apps, PostgreSQL for analytics and reporting.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
- W
MySQL on Wikipedia (opens in new tab)
Open-source relational database optimized for web applications with fast read performance and simple architecture.
- W
PostgreSQL on Wikipedia (opens in new tab)
Advanced open-source relational database with extensive features for complex queries, data integrity, and analytical workloads.
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