Updated for 2026
MySQLvs
MongoDB
Not sure which fits your workflow in 2026? Compare pricing, features, and trade-offs — then switch tools below to explore more options in this category.
dev-database
MySQL
MySQL is the classic open-source relational database — a default choice for SQL apps, CMS stacks, and managed cloud offerings.
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MongoDB
MongoDB is a document-oriented database that stores BSON/JSON-like documents — strong for flexible schemas, change streams, and sharded clusters (self-host or Atlas).
Visit MongoDBBasics
| Feature | MySQL | MongoDB |
|---|---|---|
| Released | 1995 | 2016 |
| Company | Oracle | MongoDB, Inc. |
| Country | United States | United States |
| Region / Availability | Self-host / multi-cloud | Self-host / multi-cloud |
Pricing comparison
| Plan | MySQL | MongoDB |
|---|---|---|
| Model | open-source | freemium |
| Free tier | Yes | Yes |
| Starts at | $0/mo | $0/mo |
| Plan 1 | Community: Free | Free: FreeLimited to 512MB storage, primarily for learning purposes. |
| Plan 2 | Enterprise: Commercial support | Flex: $30/moFor application development and testing, with on-demand burst capacity for unpredictable traffic. Limited to 5GB storeage. |
| Plan 3 | — | Dedicated: Starts at $57/moFor production applications with complex workloads. 10GB to 4TB storage, dedicated memory and CPU. |
Feature checklist
| Feature | MySQL | MongoDB |
|---|---|---|
| Open Source | ✓ | ✓https://github.com/mongodb/mongo |
| Self-host Option | ✓ | ✓ |
| ACID | Full ACID with InnoDB | Document atomicity; multi-document ACID transactions (4.0+) |
| Index Support | B-tree, full-text, spatial; covering indexes | Single, compound, text, geospatial, wildcard, and vector indexes |
| Concurrency | Strong row-level locking / MVCC-style reads | High concurrency for document workloads with wiredTiger locking |
| Scalability | Vertical + replicas; clustering / Group Replication | Native horizontal sharding and replica sets |
| SQL Support | ✓ | ✗ |
| Postgres Compatible | ✗ | ✗ |
| Serverless Database | ✗ | ✗ |
| Vector Search | ✗ | ✓ |
| Realtime | ✗ | ✓ |
| Built-in Auth | ✗ | ✗ |
| Blob / File Storage | ✗ | ✗ |
| Edge Compatible | ✗ | ✗ |
| AI SQL / NL Query | ✗ | ✗ |
| AI Schema Assist | ✗ | ✓ |
| AI Agent / MCP | ✗ | ✓ |
| Team Collaboration | ✓ | ✓ |
| Use Case | Classic OLTP relational database for web apps and CMS backends | Flexible document storage for product catalogs, content, and event-driven apps |
Pros & cons
MySQL
- Ubiquitous skills and tooling ecosystem
- Battle-tested for OLTP web workloads
- Easy to self-host or buy managed MySQL
- Not Postgres-compatible
- Fewer modern branching/serverless DX features than Neon-class hosts
- Advanced features often need careful ops
MongoDB
- Document model flexibility
- Strong Atlas developer tooling
- Vector search and multi-cloud options
- Not relational SQL
- Cost management needs care at scale
- Auth/storage not as turnkey as BaaS suites
Dimension scores
Editorial 0–10 scores across shared dimensions — higher is better for that axis.
| Dimension | MySQL | MongoDB |
|---|---|---|
| Capability | 8.5 | 8.5 |
| Privacy | 9.0 | 6.0 |
| Value | 9.5 | 7.0 |
| Depth | 8.5 | 8.5 |
| Ecosystem | 9.5 | 9.0 |
| DX | 8.0 | 7.5 |
- MongoDB
FAQ
Is MySQL better than MongoDB?
It depends on workflow. MySQL emphasizes the world’s most popular open-source relational database for web and app backends. MongoDB emphasizes document database for flexible json-like data, rich indexing, and horizontal scale. Use the feature checklist above for your stack.
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Related alternatives
Disclaimer:Not Financial or Investment Advice, Educational/Dev Tool Comparison Only. Information may change; always verify pricing on the vendor site before purchasing.