MySQL vs SQLite
MySQL
Free, open-source relational database management system with manual administration
Web applications, SaaS platforms, e-commerce systems, data warehousing, multi-user enterprise systems
SQLite
Lightweight, file-based SQL database engine with zero configuration, embedded directly in applications
Mobile apps, desktop applications, embedded systems, prototyping, offline-first applications, testing, IoT devices
Short Answer
MySQL is a client-server relational database designed for large-scale applications with multiple concurrent users, while SQLite is a lightweight, file-based database embedded directly into applications. MySQL requires a separate server and supports advanced features like replication and clustering, whereas SQLite prioritizes simplicity and requires zero configuration.
Our Verdict
AI-assistedChoose MySQL if you're building enterprise applications with multiple concurrent users, need remote database access, require replication for high availability, or are handling terabytes of data. Choose SQLite if you're developing mobile apps, desktop applications, embedded systems, prototyping, or single-user applications where simplicity and portability are priorities.
Was this verdict helpful?
Choose MySQL if
Web applications, SaaS platforms, e-commerce systems, data warehousing, multi-user enterprise systems
Choose SQLite if
Mobile apps, desktop applications, embedded systems, prototyping, offline-first applications, testing, IoT devices
Track this comparison
Get notified when prices change, new specs ship, or our verdict updates.
Triggers: price change new spec verdict update
No spam. Stop anytime.
Key Differences at a Glance
Key Facts & Figures
| Metric | MySQL | SQLite | Diff |
|---|---|---|---|
| Simple Query Throughput(queries/sec) | ~28,000 (MySQL 8.4) | — | — |
| Complex Join Performance(ms response time) | ~450 (5-table join) | — | — |
| Base Memory Footprint(MB) | ~80 (minimal config) | — | — |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $13.50 (MySQL 8.4) | — | — |
| Supported Versions (2026)(major versions) | 5 (8.0-8.4 active) | — | — |
| Replication Lag (typical)(ms) | 5-50 (binary log) | — | — |
| Concurrent Connections(connections) | 151 (default, configurable) | 100 readers, 1 writer | +51% |
| Max Database Size(TB) | 140 TB per table | 281 TB theoretical | -50% |
| Memory Footprint(MB) | 150-500 MB | 1-3 MB | +16150% |
| Typical Query Response Time(ms) | 5-50 ms (indexed queries) | 1-10 ms (file-based) | +400% |
| 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) | 23 years (since 2000) | +9% |
| 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) | — | — |
| Aggregation Query Time (1 billion rows)(seconds) | 30-120 seconds | 30-120 seconds | — |
| Memory Usage (1TB analytical dataset)(GB) | 800-1200 GB | 800-1200 GB | — |
| Database File Size Limit(TB) | 140 TB theoretical | 140 TB theoretical | — |
| Production Deployments (Estimated)(organizations) | 2 billion+ (Android/iOS/Firefox) | 2 billion+ (Android/iOS/Firefox) | — |
| Minimum Memory Requirement(GB) | ~2 MB | ~2 MB | — |
| Maximum Concurrent Connections(connections) | 1 writer + multiple readers | 1 writer + multiple readers | — |
| Maximum Database Size(terabytes) | 281 TB | 281 TB | — |
All figures sourced from publicly available data. Last updated Jun 2026.
Key Differences
MySQL
Client-server (requires separate server process)
SQLite
Embedded (file-based, serverless)🏆
MySQL
Supports 1000+ concurrent connections🏆
SQLite
Handles up to 100 concurrent readers, 1 writer
MySQL
140 terabytes per table🏆
SQLite
281 terabytes theoretical (practical: 100GB+)
MySQL
Requires server installation, configuration, user management
SQLite
Zero configuration, single .db file🏆
MySQL
Native master-slave replication, clustering, failover support🏆
SQLite
No built-in replication; manual backup required
MySQL
Remote access via TCP/IP protocol🏆
SQLite
Local file-system access only
MySQL
150-500 MB installed (server running)
SQLite
1-3 MB embedded in application🏆
Full Comparison
| Attribute |  MySQL |  SQLite |
|---|---|---|
| ACID Compliance Level | Partial (InnoDB only) | Full ACID |
| Uptime SLA(%) | User-dependent (no guarantee) | — |
| Simple Query Throughput(queries/sec) | ~28,000 (MySQL 8.4) | — |
| Complex Join Performance(ms response time) | ~450 (5-table join) | — |
| Replication Lag (typical)(ms) | 5-50 (binary log) | — |
| Concurrent Connections(connections) | 151 (default, configurable) | 100 readers, 1 writer |
| Memory Footprint(MB) | 150-500 MB | 1-3 MB |
Show 6 more attributesTypical Query Response Time(ms) 5-50 ms (indexed queries) 1-10 ms (file-based) Average 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 — Aggregation Query Time (1 billion rows)(seconds) 30-120 seconds — Maximum Concurrent Connections(connections) 1 writer + multiple readers — | ||
| JSON Query Capability | JSON functions only | — |
| Full-Text Search | Limited, basic support | — |
| Time-Series Optimization | Standard table partitioning | — |
| Transaction Support(consistency level) | Full ACID across multiple tables (since v5.7) | — |
| Auto-Scaling Capability | Manual configuration required | — |
Show 1 more attributeNative Format Support SQL dumps, CSV import only — | ||
| Base Memory Footprint(MB) | ~80 (minimal config) | — |
| Vector Similarity Support | Via third-party extensions | — |
| AWS RDS Managed Cost($/month (db.t3.micro, single-AZ)) | $13.50 (MySQL 8.4) | — |
| Supported Versions (2026)(major versions) | 5 (8.0-8.4 active) | — |
| Enterprise Support Availability(availability) | Oracle, multiple vendors | — |
| Max Database Size(TB) | 140 TB per table | 281 TB theoretical |
| Maximum Read Replicas(instances) | Unlimited (with sharding complexity) | — |
| Database File Size Limit(TB) | 140 TB theoretical | — |
| Maximum Database Size(terabytes) | 281 TB | — |
| Network Access | Yes - TCP/IP protocol | No - local file system only |
| Horizontal Scalability | Manual sharding (theoretical unlimited) | — |
| Built-in Replication | Yes - master-slave, group replication | No - manual backup only |
| Schema Flexibility | Fixed schema, requires migration for changes | — |
| Memory Usage (100GB dataset)(GB) | 8-12GB working set | — |
| Memory Usage (1TB analytical dataset)(GB) | 800-1200 GB | — |
| Years in Production(years) | 25+ years (MySQL 1.0 released 1995) | 23 years (since 2000) |
| Community Popularity(% of developers) | 46% of web applications (Stack Overflow 2024) | — |
| Production Deployments (Estimated)(organizations) | 2 billion+ (Android/iOS/Firefox) | — |
| Setup Time(minutes) | 240-480 minutes | < 1 minute |
| Monthly Cost (10GB, 100K requests)(USD) | $50-200 (self-hosted) | — |
| Cost (On-Demand, Single Instance/Month)(USD) | $0 (open-source) | — |
| 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 | — |
| Backup Automation | Manual configuration required | — |
| Deployment Platforms Supported(count) | 5+ (on-prem, cloud, edge, containers, hybrid) | — |
| ACID Compliance | Full ACID support with InnoDB | Yes (full ACID support) |
| Concurrent Write Support | Multiple concurrent transactions | — |
| Minimum Memory Requirement(GB) | ~2 MB | — |
MySQLSQLiteShow 6 more attributes
Show 1 more attribute
Visual Comparison
Side-by-side comparison of numeric attributes
Pros & Cons
MySQL
Pros
- Supports 1000+ concurrent connections and multi-user environments
- Master-slave replication and clustering for high availability
- Can handle 140TB+ databases with advanced indexing
- Network-accessible via TCP/IP for distributed systems
- ACID compliance with InnoDB engine since version 5.5
Cons
- Requires separate server installation and ongoing administration
- Higher memory overhead (150-500 MB running server)
- More complex backup and recovery procedures
SQLite
Pros
- Zero configuration—single .db file, no server needed
- Minimal memory footprint (1-3 MB embedded in app)
- Portable across platforms (iOS, Android, Windows, Linux, macOS)
- Perfect for mobile and desktop applications
- Single database file easy to backup and distribute
Cons
- Limited to 1 concurrent writer (100 concurrent readers max)
- No built-in network access or replication
- Performance degradation with extremely large datasets (100GB+)
Frequently Asked Questions
No, SQLite is not suitable for web applications with multiple concurrent users. SQLite only supports 1 concurrent writer, causing lock contention on websites with traffic. MySQL supports 1000+ concurrent connections and is designed for this use case. Use SQLite only for single-user applications or desktop software.
Resources & Learn More
Dive deeper with these curated resources
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more
Wikipedia
Related Comparisons
MySQL vs PostgreSQL
technology
MySQL vs MongoDB
software
MySQL vs PlanetScale
software
DuckDB vs SQLite
software
MySQL vs Amazon Aurora
software
PostgreSQL vs SQLite
software
WordPress vs Wix
software
Slack vs Microsoft Teams
software
Canva vs Photoshop
software
Figma vs Sketch
software
iPhone 17 vs Samsung Galaxy S26
technology
PS5 vs Xbox Series X
technology
Related Articles
Best Streaming Services in 2026: Top Picks for Every Budget & Interest
Navigating the crowded streaming landscape in 2026 can be overwhelming. We've tested and ranked the best streaming services that offer the most value, from Netflix's massive library to budget-friendly options like Tubi, helping you cut cable and find your perfect entertainment solution.
Best Live TV Streaming Services & Plans for Spring 2026: Complete Buyer's Guide
Tired of overpaying for cable? Discover the best live TV streaming services and plans for Spring 2026, including YouTube TV's new genre-based packages starting at $55/month. Our comprehensive guide breaks down pricing, channels, and features to help you cut the cord.
Philo in 2026: Streaming TV Service Review, Pricing & Reddit Community Insights
Explore Philo's evolution heading into 2026, including pricing tiers, channel lineup, and how it compares to competitors like Sling TV. Discover what the r/PhiloTV Reddit community thinks about the service's current offerings and future prospects.
Best US Fighter Jets 2026: Top American Combat Aircraft Ranked
Discover the most advanced US fighter jets dominating the skies in 2026. From the legendary F-22 Raptor to the versatile F-35 Lightning II, we rank America's best combat aircraft based on performance, stealth, and air superiority capabilities.
Philo in 2026: Pricing, Lineup & How It Compares to Sling TV
As we head into 2026, Philo continues to position itself as an affordable streaming alternative for cable TV lovers. Discover what Philo offers, how its pricing stacks up against competitors like Sling TV, and what the Reddit community thinks about its future.