What are the differences between MongoDB aggregation and SQL?

What are the differences between MongoDB aggregation and SQL?

MongoDB aggregation is a framework for data processing, while SQL uses queries to manipulate data. Aggregation in MongoDB allows for operations like filtering, grouping, and sorting in a more flexible way compared to SQL.

Can you give me an example of how aggregation works in MongoDB?

Sure! In MongoDB, you can use the aggregate() method to process data. For example, to group sales data by product and calculate total sales, you would use a pipeline with stages like $match, $group, and $sum.

How does SQL handle similar operations?

In SQL, you would use the GROUP BY clause along with aggregate functions like SUM() to achieve similar results. For example, SELECT product, SUM(sales) FROM sales_table GROUP BY product;.

Which one is better for large datasets?

It depends on the use case. MongoDB can handle large datasets with its flexible schema and horizontal scaling, while SQL databases are optimized for complex queries and transactions.