The issue of slow data ingestion when running multiple syncs in parallel could be due to a variety of factors. Here are a few suggestions based on the information provided in the knowledge sources: 1.
Isolate each stream into a separate sync job: This could potentially improve performance by reducing the load on each individual sync job ([source](
https://discuss.airbyte.io/t/2416)). 2.
Allocate more memory to the connection: This could help if the issue is related to resource constraints. You can do this by following the instructions in the [Airbyte documentation](
https://docs.airbyte.io/operator-guides/configuring-connector-resources/#configuring-connection-specific-requirements) ([source](
https://discuss.airbyte.io/t/2416)). 3.
Upgrade your connector: If you're using an older version of a connector, upgrading to a newer version might help. However, keep in mind that some upgrades might trade speed for stability ([source](
https://discuss.airbyte.io/t/2416)). 4.
Check your logs: If the issue persists, it would be helpful to check your sync logs to identify any potential bottlenecks. You can also share these logs with the Airbyte team for further assistance ([source](
https://discuss.airbyte.io/t/2416)). Remember, these are just suggestions and the actual solution might vary depending on your specific setup and the nature of the issue. If you're still experiencing problems, I would recommend reaching out to the Airbyte community or support for more personalized assistance.