What are the performance considerations when using aggregate functions on large datasets in Entity Framework?

When using aggregate functions on large datasets in Entity Framework, there are several performance considerations to keep in mind. One major concern is increased memory consumption, as Entity Framework needs to fetch and process a large amount of data to perform the aggregation. This can lead to performance issues, especially when dealing with very large datasets. Additionally, the database load may increase due to the processing overhead of executing aggregate functions on large volumes of data. It's essential to optimize queries, use appropriate indexing, and consider alternative approaches for handling large datasets to mitigate these performance issues.