In recent weeks, we’ve been working to improve the efficiency of data source syncs. Previously, data source syncs were executed sequentially, meaning that if multiple users were syncing large datasets simultaneously, some users could experience delays due to queueing.

Today, we've upgraded our sync engine to support parallel syncs, allowing multiple data sources to sync simultaneously. While this doesn’t necessarily speed up individual syncs, it does reduce the likelihood of delays caused by queueing.

In the coming weeks, we’ll be implementing further improvements to permanently increase sync speeds, particularly for customers exceeding 1M journal entries.