if the size of data is very small is it possible that can sync to slow down

Yes, it is possible for data sync to slow down even if the size of the data is small. The speed of data sync is not solely dependent on the size of the data. It can be influenced by various factors such as network latency, the performance of the source and destination systems, and the configuration settings of the sync process. For instance, in the case of Airbyte, a user reported a slow sync issue on the [Airbyte Github](https://github.com/airbytehq/airbyte/issues/45119) and [Airbyte forum](https://discuss.airbyte.io/t/3631) even with a relatively small data size. The user was trying to set up a connection between AWS S3 and Databricks on Azure and found the sync to be slow. The sync took approximately 140s for about 300MB and 200,000 rows, which translates to a transfer rate of ~2.15MB/s and ~1500rows/s. In another case, a user reported a slow data sync issue with the [source-bigquery](https://github.com/airbytehq/airbyte/issues/45119). The logs showed that the data read rate was relatively slow. Therefore, if you are experiencing slow data sync, it might be worth checking your network conditions, the performance of your source and destination systems, and your sync configuration settings. If the issue persists, you might want to report it to the Airbyte team for further investigation.