Databases · Updated 2026
Quick Verdict
Choose MySQL if you need a proven, cost-effective relational database for structured data and complex queries. Choose DynamoDB if you require a fully managed, serverless NoSQL database for applications with massive, unpredictable scale and consistent single-digit millisecond latency.
MySQL is a widely adopted, open-source relational database (RDBMS) that excels at handling structured data with complex queries and transactions. DynamoDB is a fully managed, serverless NoSQL key-value and document database built for seamless, automatic scaling. Their core difference lies in the relational vs. NoSQL data model and the operational model: self-managed or cloud-managed versus fully serverless. MySQL targets a broad audience needing a versatile, SQL-compliant workhorse, while DynamoDB targets developers building modern, globally distributed apps that prioritize scale and performance over relational flexibility.
Side-by-Side Comparison
| Aspect | MySQL | DynamoDB |
|---|---|---|
| Pricing | Open-source; cost is for self-managed infrastructure/cloud instance. | Pay-per-request or provisioned capacity; fully managed service. |
| Ease of Use | Familiar SQL, but requires management of scaling, backups, and HA. | Serverless; minimal ops, but requires careful data modeling for NoSQL. |
| Scalability | Vertical scaling is straightforward; horizontal scaling (sharding) is complex. | Seamless, automatic horizontal scaling built into the service. |
| Integrations | Vast ecosystem of ORMs, reporting tools, and SQL-based systems. | Deep integration with AWS services (Lambda, API Gateway, etc.). |
| Open Source | Yes | No |
| Best For | Web apps, e-commerce, OLTP with complex queries. | High-scale apps needing low-latency, like gaming, ad-tech, IoT. |
Choose MySQL if...
MySQL is the better choice when your data is highly structured and your application relies on complex joins, multi-row transactions (ACID compliance), or ad-hoc querying. It's ideal for teams with SQL expertise, those requiring full control over the database server, and projects where minimizing operational cost (via open-source) is a priority, even if it means managing scalability yourself.
Choose DynamoDB if...
DynamoDB is the better choice when your primary requirement is seamless, automatic scaling to handle massive, unpredictable traffic with consistent low-latency performance. It excels for use cases with simple, high-volume queries based on known keys, such as user profiles, session stores, or real-time leaderboards, and for teams that want to offload all database administration and operational overhead.
Product Details
MySQL
The world's most popular open-source relational database management system for building scalable, high-performance applications.
Pricing
Open Source
Best For
Developers and organizations of all sizes needing a proven, reliable, and cost-effective relational database for web applications, e-commerce, and online transaction processing (OLTP).
Key Features
Pros
- + Exceptional performance and reliability
- + Massive community support and extensive documentation
- + Low total cost of ownership with a free community edition
Cons
- - Some advanced features lag behind competitors like PostgreSQL
- - Enterprise features and support require a commercial license from Oracle
- - Historically had more restrictive open-source licensing than some alternatives
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