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MySQL vs PlanetScale

MySQL

MySQL

Free, open-source relational database management system with manual administration

Enterprises with dedicated database teams, applications with massive datasets, teams needing full control and customization, cost-sensitive projects at scale

VS
P

PlanetScale

MySQL-compatible serverless database powered by Vitess, built for horizontal scaling.

Startups and scale-ups, development teams avoiding DevOps, projects with unpredictable traffic patterns, applications requiring rapid deployment and CI/CD workflows

Short Answer

MySQL is a traditional open-source relational database you self-host or manage yourself, while PlanetScale is a serverless MySQL-compatible platform with auto-scaling, built-in branching, and managed infrastructure. PlanetScale eliminates operational overhead but charges based on usage, whereas MySQL requires infrastructure management but has zero licensing costs.

Our Verdict

AI-assisted

Choose MySQL if you need complete control, have large datasets (>1TB), prefer zero licensing costs, or require deep customization and full autonomy. Choose PlanetScale if you want to launch quickly, value automatic scaling and developer-friendly features like branching, can accept usage-based pricing, and want to eliminate database operations entirely.

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MySQL6.3
8.8PlanetScale

Choose MySQL if

Enterprises with dedicated database teams, applications with massive datasets, teams needing full control and customization, cost-sensitive projects at scale

Choose PlanetScale if

Startups and scale-ups, development teams avoiding DevOps, projects with unpredictable traffic patterns, applications requiring rapid deployment and CI/CD workflows

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Key Differences at a Glance

๐Ÿ”น
Deployment Model: PlanetScale wins (Fully serverless & managed vs Self-hosted or managed by you)
๐Ÿ’ฐ
Monthly Cost (Small App): MySQL wins ($0-50 (self-hosted) or $200-500 (managed) vs $29-300+ based on usage)
๐Ÿ”น
Auto-Scaling: PlanetScale wins (Automatic, built-in vs Manual configuration required)
See all 7 differences

Key Facts & Figures

MetricMySQLPlanetScaleDiff
Simple Query Throughput(queries/sec)~28,000 (MySQL 8.4)โ€”โ€”
Complex Join Performance(ms response time)~450 (5-table join)โ€”โ€”
Base Memory Footprint(MB)~80 (minimal config)โ€”โ€”
AWS RDS Managed Cost($/month (db.t3.micro, single-AZ))$13.50 (MySQL 8.4)โ€”โ€”
Supported Versions (2026)(major versions)5 (8.0-8.4 active)โ€”โ€”
Replication Lag (typical)(ms)5-50 (binary log)โ€”โ€”
Concurrent Connections(connections)151 (default, configurable)10,000+ with pooling-98%
Max Database Size(TB)140 TB per tableโ€”โ€”
Memory Footprint(MB)150-500 MBโ€”โ€”
Typical Query Response Time(ms)5-50 ms (indexed queries)โ€”โ€”
Average Query Latency (structured data)(ms)3-5ms for simple queriesโ€”โ€”
Memory Usage (100GB dataset)(GB)8-12GB working setโ€”โ€”
Years in Production(years)25+ years (MySQL 1.0 released 1995)โ€”โ€”
Write Throughput (single server)(operations/second)10,000-50,000 ops/secโ€”โ€”
Community Popularity(% of developers)46% of web applications (Stack Overflow 2024)โ€”โ€”
Monthly Cost (10GB, 100K requests)(USD)$50-200 (self-hosted)$39-99+81%
Maximum Storage per Database(TB)Unlimited1 TBโ€”
Community Size (Stack Overflow tags)(thousand questions)600+ thousand2.5 thousand+23900%
Read Throughput Improvement(x multiplier)1x baselineโ€”โ€”
Cost (On-Demand, Single Instance/Month)(USD)$0 (open-source)โ€”โ€”
Uptime SLA(%)User-dependent (no guarantee)99.95%โ€”
Deployment Platforms Supported(count)5+ (on-prem, cloud, edge, containers, hybrid)โ€”โ€”
Free Tier Storage(GB)5GB5GBโ€”
Minimum Production Tier Cost(USD/month)$29$29โ€”
Annual npm Downloads (Drivers)(millions)2.1M2.1Mโ€”
Pro Tier Starting Price(USD/month)$29$29โ€”
Max Single Database Size(TB)1000+ TB (unlimited via sharding)1000+ TB (unlimited via sharding)โ€”
Free Tier Storage Capacity(GB)5 GB5 GBโ€”
Free Tier Monthly Read Requests(requests)10,000,00010,000,000โ€”
Startup Plan Monthly Cost(USD)$39$39โ€”
Global Edge Replication Locations(locations)3+ regions3+ regionsโ€”
Maximum Database Size (Pro Plan)(GB)1,000+ GB (1TB+)1,000+ GB (1TB+)โ€”
Standard Uptime SLA(percent)99.99%99.99%โ€”
Setup Time to Production(weeks)10-15 minutes10-15 minutesโ€”
Free Tier Query Limit(queries/month)1,000,0001,000,000โ€”
Free Tier Storage Limit(GB)5GB5GBโ€”
Minimum Production Cost(USD/month)$29$29โ€”
Regions Supported per Cluster(count)11โ€”
Maximum Concurrent Connections(connections)10,000+10,000+โ€”
Supported Databases(count)1 (MySQL)1 (MySQL)โ€”
Scaling Response Time(milliseconds)<100ms<100msโ€”
Git Platform Integrations(platforms)1 (GitHub only)1 (GitHub only)โ€”
Minimum Monthly Cost (Beyond Free)(USD)$29$29โ€”
Production Cost (100GB Storage, 1 Month)(USD)$50$50โ€”
Connection Pooling Cost(USD/month)$20+ add-on$20+ add-onโ€”
Cold Start Latency(milliseconds)200-500ms200-500msโ€”
Maximum Recommended Storage(TB)100+ TB100+ TBโ€”
PostgreSQL Compatibility(percentage)0% (MySQL only)0% (MySQL only)โ€”
MySQL Compatibility(percentage)MySQL 8.0 fully compatibleMySQL 8.0 fully compatibleโ€”
Base Monthly Cost (Serverless)(USD)$0 (pay-per-use from $0.01/hour)$0 (pay-per-use from $0.01/hour)โ€”
Typical Monthly Cost (1M reads)(USD)$8-15 (read-based)$8-15 (read-based)โ€”
Read Latency (Single Region)(milliseconds)1-3ms p991-3ms p99โ€”
Starting Paid Plan Cost(USD/month)$39/month$39/monthโ€”

All figures sourced from publicly available data. Last updated Jun 2026.

Key Differences

Deployment Model

MySQL

Self-hosted or managed by you

PlanetScale

Fully serverless & managed๐Ÿ†

Monthly Cost (Small App)

MySQL

$0-50 (self-hosted) or $200-500 (managed)๐Ÿ†

PlanetScale

$29-300+ based on usage

Auto-Scaling

MySQL

Manual configuration required

PlanetScale

Automatic, built-in๐Ÿ†

Database Branching

MySQL

Not a native feature

PlanetScale

Git-like branching for dev/test๐Ÿ†

Setup Time

MySQL

4-8 hours (from scratch)

PlanetScale

5-10 minutes๐Ÿ†

Community & Documentation

MySQL

Extensive (25+ years of resources)๐Ÿ†

PlanetScale

Growing but smaller

Maximum Storage

MySQL

Unlimited (hardware dependent)๐Ÿ†

PlanetScale

Up to 1TB per database

Full Comparison

MySQL
PlanetScale
ACID Compliance Level
Partial (InnoDB only)
โ€”
Uptime SLA(%)
User-dependent (no guarantee)
99.95%
Standard Uptime SLA(percent)
99.99%
โ€”
Simple Query Throughput(queries/sec)
~28,000 (MySQL 8.4)
โ€”
Complex Join Performance(ms response time)
~450 (5-table join)
โ€”
Replication Lag (typical)(ms)
5-50 (binary log)
โ€”
Concurrent Connections(connections)
151 (default, configurable)
10,000+ with pooling
Memory Footprint(MB)
150-500 MB
โ€”
Show 8 more attributes
Typical Query Response Time(ms)
5-50 ms (indexed queries)
โ€”
Average Query Latency (structured data)(ms)
3-5ms for simple queries
โ€”
Write Throughput (single server)(operations/second)
10,000-50,000 ops/sec
โ€”
Read Throughput Improvement(x multiplier)
1x baseline
โ€”
Maximum Concurrent Connections(connections)
10,000+
โ€”
Scaling Response Time(milliseconds)
<100ms
โ€”
Cold Start Latency(milliseconds)
200-500ms
โ€”
Read Latency (Single Region)(milliseconds)
1-3ms p99
โ€”
JSON Query Capability
JSON functions only
โ€”
Full-Text Search
Limited, basic support
โ€”
Time-Series Optimization
Standard table partitioning
โ€”
Transaction Support(consistency level)
Full ACID across multiple tables (since v5.7)
Full ACID per-shard (cross-shard eventual consistency)
Auto-Scaling Capability
Manual configuration required
Automatic, built-in
Show 9 more attributes
Built-in Authentication(boolean)
No (requires integration)
โ€”
Vector Search (pgvector)
No
โ€”
Supported Databases(count)
1 (MySQL)
โ€”
Git Platform Integrations(platforms)
1 (GitHub only)
โ€”
Schema Branching Support
Yes (native, git-like)
โ€”
Built-in Application Hosting
No (database only)
โ€”
Branching/Preview Environments
Paid add-on (Pro plan $29+)
โ€”
Connection Pooling Cost(USD/month)
$20+ add-on
โ€”
Multi-Region Built-in(boolean)
No (manual replication needed)
โ€”
Base Memory Footprint(MB)
~80 (minimal config)
โ€”
Vector Similarity Support
Via third-party extensions
โ€”
AWS RDS Managed Cost($/month (db.t3.micro, single-AZ))
$13.50 (MySQL 8.4)
โ€”
Supported Versions (2026)(major versions)
5 (8.0-8.4 active)
โ€”
Enterprise Support Availability(availability)
Oracle, multiple vendors
โ€”
Max Database Size(TB)
140 TB per table
โ€”
Maximum Read Replicas(instances)
Unlimited (with sharding complexity)
โ€”
Max Single Database Size(TB)
1000+ TB (unlimited via sharding)
โ€”
Horizontal Scaling
Native (Vitess)
โ€”
Maximum Database Size (Pro Plan)(GB)
1,000+ GB (1TB+)
โ€”
Show 5 more attributes
Horizontal Sharding Support
Native (Vitess-based)
โ€”
Maximum Recommended Storage(TB)
100+ TB
โ€”
Maximum Database Size(terabytes)
Unlimited (sharded)
โ€”
Max Scalable Storage(GB)
Unlimited via sharding
โ€”
Horizontal Sharding
Native (Vitess-based)
โ€”
Network Access
Yes - TCP/IP protocol
โ€”
Horizontal Scalability
Manual sharding (theoretical unlimited)
โ€”
Horizontal Scaling Method
Automatic via Vitess
โ€”
Database Engine Type
MySQL 8.0 compatible
โ€”
Built-in Replication
Yes - master-slave, group replication
โ€”
Schema Flexibility
Fixed schema, requires migration for changes
โ€”
Memory Usage (100GB dataset)(GB)
8-12GB working set
โ€”
Years in Production(years)
25+ years (MySQL 1.0 released 1995)
โ€”
Community Popularity(% of developers)
46% of web applications (Stack Overflow 2024)
โ€”
Setup Time(minutes)
240-480 minutes
5-10 minutes
Monthly Cost (10GB, 100K requests)(USD)
$50-200 (self-hosted)
$39-99
Cost (On-Demand, Single Instance/Month)(USD)
$0 (open-source)
โ€”
Free Tier Storage(GB)
5GB
โ€”
Minimum Monthly Cost (Beyond Free)(USD)
$29
โ€”
Production Cost (100GB Storage, 1 Month)(USD)
$50
โ€”
Show 3 more attributes
Base Monthly Cost (Serverless)(USD)
$0 (pay-per-use from $0.01/hour)
โ€”
Typical Monthly Cost (1M reads)(USD)
$8-15 (read-based)
โ€”
Starting Paid Plan Cost(USD/month)
$39/month
โ€”
Maximum Storage per Database(TB)
Unlimited
1 TB
Maximum Storage Capacity(TB)
64TB (hardware dependent)
โ€”
Database Branching Support
Third-party tools only
Native Git-like branching
Community Size (Stack Overflow tags)(thousand questions)
600+ thousand
2.5 thousand
Backup Automation
Manual configuration required
โ€”
Deployment Platforms Supported(count)
5+ (on-prem, cloud, edge, containers, hybrid)
โ€”
ACID Compliance
Full ACID support with InnoDB
โ€”
Transaction ACID Support
Full with savepoints
โ€”
Foreign Key Support
Full support
โ€”
Minimum Production Tier Cost(USD/month)
$29
โ€”
Maximum Connections Per Database(connections)
Unlimited
โ€”
Query Language Standard
SQL Standard
โ€”
Auto-generated APIs
Manual setup required
โ€”
Database Branching
Yes (Git-like branching)
โ€”
Native Branching Support
No
โ€”
Annual npm Downloads (Drivers)(millions)
2.1M
โ€”
Monthly Row Operations (Free)(millions)
Unlimited
โ€”
Pro Tier Starting Price(USD/month)
$29
โ€”
Free Tier Storage Capacity(GB)
5 GB
โ€”
Free Tier Monthly Read Requests(requests)
10,000,000
โ€”
Startup Plan Monthly Cost(USD)
$39
โ€”
Show 1 more attribute
Minimum Production Cost(USD/month)
$29
โ€”
Real-time Subscriptions
No (polling only)
โ€”
Global Edge Replication Locations(locations)
3+ regions
โ€”
Setup Time to Production(weeks)
10-15 minutes
โ€”
Free Tier Query Limit(queries/month)
1,000,000
โ€”
Open Source(null)
No (closed source)
โ€”
Free Tier Storage Limit(GB)
5GB
โ€”
Regions Supported per Cluster(count)
1
โ€”
Available Extensions/Ecosystem
MySQL-compatible only
โ€”
PostgreSQL Compatibility(percentage)
0% (MySQL only)
โ€”
MySQL Compatibility(percentage)
MySQL 8.0 fully compatible
โ€”
Free Tier Compute Allowance(hours/month)
Limited to 5GB storage
โ€”
Database Engine
MySQL 8.0 compatible
โ€”
Auto-Suspend Idle Databases
No
โ€”
Multi-region Support(regions)
Native multi-region replication
โ€”

Visual Comparison

Side-by-side comparison of numeric attributes

Pros & Cons

MySQL

6 pros3 cons

Pros

  • Zero licensing cost with open-source model
  • Unlimited storage capacity (limited only by hardware)
  • Highly customizable with full source code access
  • Mature ecosystem with 25+ years of community knowledge
  • Excellent performance with large datasets (100GB+)
  • Compatible with almost all hosting providers worldwide

Cons

  • Requires significant DevOps expertise to set up and maintain
  • Manual scaling and performance tuning needed
  • Security hardening and backups are your responsibility

PlanetScale

5 pros3 cons

Pros

  • Instant setup with zero infrastructure management (5-10 minutes)
  • Automatic scaling handles traffic spikes without manual intervention
  • Git-like database branching for safe testing and CI/CD integration
  • Built-in connection pooling with 10,000+ concurrent connections
  • 99.99% uptime SLA with automated failover and backups

Cons

  • Usage-based pricing can exceed $500/month for high-traffic applications
  • 1TB storage limit may require workarounds for very large datasets
  • Smaller community and fewer third-party tools compared to MySQL ecosystem

Frequently Asked Questions

PlanetScale uses MySQL 8.0 protocol-compatible architecture built on Vitess (open-source middleware). It's fully MySQL-compatible, meaning most MySQL tools, drivers, and queries work without modification. However, it's a distributed system with some operational differences (e.g., foreign keys have limitations in some cases). For 98% of applications, it behaves identically to MySQL.

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