What are the differences between batch syncing and real-time syncing?

What are the differences between batch syncing and real-time syncing?

Batch syncing involves collecting data over a period and syncing it all at once, while real-time syncing updates data instantly as changes occur.

Which method is more efficient for large datasets?

Batch syncing is often more efficient for large datasets because it reduces the number of transactions and can optimize resource usage.

Are there any scenarios where real-time syncing is preferred?

Yes, real-time syncing is preferred in scenarios where immediate data accuracy is critical, such as financial transactions or live monitoring.

What are the potential downsides of real-time syncing?

The downsides of real-time syncing include higher resource consumption, potential latency issues, and increased complexity in data management.

Can you give examples of applications that use each method?

Sure! Batch syncing is often used in data warehousing, while real-time syncing is common in social media platforms and online gaming.