When it comes to streaming services, some sorting methods are better for handling data in real-time. Here’s why:

1. Quick Response: Algorithms like QuickSort or MergeSort are popular because they can sort data quickly. Their average performance is pretty good, at about $O(n \log n)$, which means they can handle lots of information fast.

2. Keeps Order: Some tasks, like sorting user messages in chat apps, need to keep things in a certain order. Stable algorithms, like MergeSort, help by making sure that items that are the same stay in the order they were originally in. This is important for a good user experience.

3. Flexibility: Algorithms like TimSort work well for live data because they can adjust to new information as it comes in. They can combine new data with what’s already sorted without much trouble.

4. Saves Space: For devices with limited memory, like phones, using in-place algorithms like HeapSort helps save memory. This is really important for mobile apps or smaller devices.

These qualities help streaming services provide quick and accurate results, making users happy.