# CData Sync Enhances Snowflake Integration with Optimized High Volume Data Handling

**URL:** <https://community.cdata.com/t/cdata-sync-enhances-snowflake-integration-with-optimized-high-volume-data-handling/1098>\
**Category:** CData Sync\
**Tags:** replication, etl, discussion, cdata-sync, snowflake\
**Created:** [May 26, 2025, 8:35am UTC](https://community.cdata.com/t/cdata-sync-enhances-snowflake-integration-with-optimized-high-volume-data-handling/1098 "2025-05-26T08:35:09Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Dibyendu](https://avatars.discourse-cdn.com/v4/letter/d/838e76/32.png) [@Dibyendu](https://community.cdata.com/u/Dibyendu)\
**Post date:** [May 26, 2025, 8:35am UTC](https://community.cdata.com/t/cdata-sync-enhances-snowflake-integration-with-optimized-high-volume-data-handling/1098/1 "2025-05-26T08:35:09Z")

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Hey CData Community!

Moving large volumes of data into Snowflake just got a major performance upgrade. With the release of CData Sync version 24.3, high-volume data replication is now significantly faster and more efficient, cutting job completion times nearly in half for optimized processes.

In our recent&nbsp;article, we&nbsp;looked at the enhancements made to CData Sync’s processing engine and explored how these improvements play out across datasets ranging from 1 million to 10 million records.

Learn More:&nbsp;[https://www.cdata.com/kb/articles/sync-snowflake-performance.rst](https://www.cdata.com/kb/articles/sync-snowflake-performance.rst)