Hmm, I don't know enough to give you a confident answer yet. However, I can provide some general suggestions based on the information extracts. 1. Review your sync modes: Make sure you're using the most appropriate sync mode for your use case. For example, using Incremental Append or Incremental Deduped History can help reduce the amount of data being synced and save on storage costs. [Source](https://docs.airbyte.com/integrations/destinations/snowflake#supported-sync-modes) 2. Optimize your sync frequency: Adjust the frequency of your syncs to reduce the number of times data is transferred. This can help save on Snowflake credits. [Source](https://airbyte.com/tutorials/data-ingestion-pipeline-mailchimp-snowflake) 3. Consider using views: Instead of copying data and dropping technical columns, you can create views with the columns your users consume. This can help save on compute time and Snowflake credits. [Source](https://discuss.airbyte.io/t/2468) As for the roadmap plan you mentioned, I don't have any information on when it's expected to be live. I recommend keeping an eye on the GitHub issue for updates. For more information and best practices, you can refer to the [Airbyte documentation](https://docs.airbyte.com/).