MongoDB vs SQL Tabs: What are the differences?

# MongoDB vs SQL

MongoDB and SQL are both database management systems, but they have key differences that set them apart.

1. **Data Model**:
   MongoDB is based on a NoSQL document store model, where data is stored in flexible, schema-less documents. On the other hand, SQL databases use a structured, tabular format for data storage with predefined schemas.

2. **Data Querying**:
   MongoDB uses a query language that is based on JSON-like syntax which allows for complex and dynamic queries. In contrast, SQL databases use structured query language (SQL) for querying data, which is more rigid and follows a strict syntax.

3. **Scalability**:
   MongoDB is designed to be horizontally scalable, allowing for easy distribution of data across multiple servers. SQL databases typically scale vertically, which involves increasing the computational power of a single server.

4. **ACID Compliance**:
   SQL databases are known for their ACID (Atomicity, Consistency, Isolation, Durability) compliance, ensuring data integrity in transactions. MongoDB, while offering similar guarantees, does not provide full ACID compliance out of the box.

5. **Schema Flexibility**:
   MongoDB allows for schema-less data storage, making it easier to adapt to changing data requirements without the need to modify existing schemas. In SQL databases, any changes to the schema can be a complex and time-consuming process.

6. **Joins**:
   SQL databases support complex joins that allow for fetching related data from multiple tables using foreign key relationships. MongoDB, on the other hand, does not support joins natively, which can require denormalizing data or using multiple queries to achieve the same result.

In Summary, MongoDB and SQL differ in data model, querying language, scalability, ACID compliance, schema flexibility, and support for joins.