Databases · Updated 2026
Quick Verdict
Choose PlanetScale if your team needs a scalable, MySQL-compatible database with a familiar relational model and a Git-like workflow. Choose DynamoDB if you need a NoSQL key-value store for applications with massive, unpredictable scale and extremely low-latency requirements.
PlanetScale and DynamoDB are both fully managed, serverless databases designed for scale, but they follow fundamentally different paradigms. PlanetScale is a relational database (MySQL-compatible) that scales horizontally using Vitess, offering a developer-friendly workflow for schema changes. DynamoDB is a NoSQL key-value store built for single-digit millisecond latency at any scale, with a pay-per-request pricing model. Their target audiences differ: PlanetScale suits teams wanting scalable SQL, while DynamoDB targets applications needing predictable performance under massive, erratic loads.
Side-by-Side Comparison
| Aspect | PlanetScale | DynamoDB |
|---|---|---|
| Pricing | Fixed monthly plans with usage caps, starting at $39/mo. | Pay-per-request model, with charges for read/write units and storage. |
| Ease of Use | High for SQL users; features a Git-like workflow for schema management. | Steeper learning curve due to NoSQL data modeling and query patterns. |
| Scalability | High, horizontal scaling for SQL via Vitess, but scaling is managed. | Effectively infinite, automatic scaling with no performance degradation. |
| Integrations | Strong with the MySQL ecosystem and Vercel/Netlify for web apps. | Deeply integrated with AWS services (Lambda, etc.) and the AWS SDK. |
| Open Source | Yes (Vitess core) | No |
| Best For | Scalable web apps needing relational SQL and a smooth dev workflow. | Apps needing low-latency, massive scale for simple, high-volume access patterns. |
Choose PlanetScale if...
PlanetScale is the better choice when your application relies on a relational data model, complex queries (JOINs, transactions), and you value a Git-like branching and merging workflow for schema changes. It's ideal for teams migrating from or familiar with MySQL who need horizontal scalability without re-architecting their data layer.
Choose DynamoDB if...
DynamoDB is the superior choice for applications requiring consistent, single-digit millisecond latency under massive, unpredictable traffic, such as gaming, ad-tech, or IoT platforms. Its NoSQL, key-value model excels when your access patterns are simple and known, and you need to scale to millions of requests per second without operational overhead.
Product Details
PlanetScale
A serverless database platform powered by Vitess, offering MySQL compatibility with a developer-friendly workflow.
Pricing
$39/mo
Best For
Development teams and companies building modern, scalable web applications who need a highly available, MySQL-compatible database with a Git-like workflow for schema changes.
Key Features
Pros
- + Exceptional developer experience with database branching
- + True horizontal scalability via Vitess
- + No downtime for schema migrations
Cons
- - Limited to MySQL wire protocol (no other database engines)
- - Can be more expensive than basic managed MySQL services
- - Advanced sharding configuration requires enterprise plan
DynamoDB
A fully managed, serverless NoSQL database service designed for high performance at any scale.
Pricing
Pay-per-request pricing model, starting at $1.25 per million write request units and $0.25 per million read request units
Best For
Developers building modern applications that require consistent, low-latency data access at massive, unpredictable scale, such as gaming, ad-tech, and IoT platforms.
Key Features
Pros
- + Predictable, low-latency performance even at petabyte scale
- + Eliminates operational overhead with fully managed, serverless operations
- + Seamless integration with the broader AWS ecosystem and services
Cons
- - Limited query flexibility compared to relational databases (no joins, complex queries)
- - Can become expensive for high, consistent throughput workloads without careful capacity planning
- - Vendor lock-in to AWS infrastructure and proprietary API