When should I use batch syncing?

What is batch syncing and when should I use it?

Batch syncing is a method of processing data in groups or batches. It's ideal when you have large volumes of data to sync and can afford to wait for the entire batch to be processed.

What are the advantages of using batch syncing over real-time syncing?

Batch syncing can be more efficient for large datasets, reduces the load on servers, and can save costs by minimizing the number of transactions.

Are there any scenarios where batch syncing is not recommended?

Yes, batch syncing is not recommended for applications that require real-time data updates, such as live monitoring systems or instant messaging.

How do I implement batch syncing in my application?

To implement batch syncing, you can set up a scheduled job that collects data over a period and then processes it in one go, using APIs or database transactions.