Why Choose MongoDB Over SQL
|
Aspect |
MySQL |
MongoDB |
|---|---|---|
|
Data Format |
Tabular (Rows and Columns) |
Document-based (JSON-like Documents) |
|
Query Language |
Structured Query Language (SQL) |
JavaScript-like Queries |
|
Schema |
Fixed Schema (Structured) |
Flexible Schema (Unstructured/Semi Structured) |
|
Relationships |
Relationships defined using Foreign Keys |
Relationships embedded or referenced |
|
Scalability |
Vertical Scaling (Adding more resources) |
Horizontal Scaling (Sharding) |
|
Transactions |
Multi-document Transactions (within a shard) |
|
|
Complexity |
Well-suited for complex queries |
Better performance for simple queries |
|
Performance |
Performance can be impacted by complexity |
High performance for simple queries |
Hence, MongoDB overcomes the common challenges faced in terms of reliability, flexibility, scalling and performance over MySQL.
How to Migrate a Microservice from MySQL to MongoDB
Migrating from MySQL to MongoDB is a strategic decision that can unlock new possibilities for your database infrastructure. MongoDB’s document-based approach offers flexibility and scalability, enabling us to store and manage data more efficiently.
Before doing this migration journey, we must careful planning and consideration of key factors are essential. Understanding the differences between MySQL and MongoDB in terms of data format, query language, schema, and scalability is crucial for a successful migration.