What are the differences between aggregation and map-reduce in MongoDB?

What are the differences between aggregation and map-reduce in MongoDB?

Aggregation is a framework for processing data records and returning computed results, while map-reduce is a data processing paradigm for distributed computing.

Can you give me an example of when to use aggregation over map-reduce?

Sure! Use aggregation for simpler data transformations and calculations, like summing values or filtering data. Map-reduce is better for complex operations that require multiple steps.

Are there performance differences between the two?

Yes, aggregation is generally faster and more efficient for most use cases, while map-reduce can be slower due to its complexity and overhead.

What about ease of use? Which one is easier to implement?

Aggregation is typically easier to implement with a more straightforward syntax, while map-reduce requires more setup and understanding of its functions.