https://community.databricks.com/t5/community-articles/databricks-advent-calendar-2025-16/m-p/142029#M877 <P class="graf graf--p">For many data engineers who love PySpark, the most significant improvement of 2025 was the addition of merge to the dataframe API, so no more Delta library or SQL is needed to perform MERGE. p.s. I still prefer SQL MERGE inside spark.sql()</P> <P class="graf graf--p"><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="2025_16.png" style="width: 999px;"><img src="https://community.databricks.com/t5/image/serverpage/image-id/22349i7FC60587F0921388/image-size/large?v=v2&amp;px=999" role="button" title="2025_16.png" alt="2025_16.png" /></span></P> Tue, 16 Dec 2025 20:32:32 GMT Hubert-Dudek 2025-12-16T20:32:32Z https://community.databricks.com/t5/community-articles/databricks-advent-calendar-2025-16/m-p/142029#M877 <P class="graf graf--p">For many data engineers who love PySpark, the most significant improvement of 2025 was the addition of merge to the dataframe API, so no more Delta library or SQL is needed to perform MERGE. p.s. I still prefer SQL MERGE inside spark.sql()</P> <P class="graf graf--p"><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="2025_16.png" style="width: 999px;"><img src="https://community.databricks.com/t5/image/serverpage/image-id/22349i7FC60587F0921388/image-size/large?v=v2&amp;px=999" role="button" title="2025_16.png" alt="2025_16.png" /></span></P> Tue, 16 Dec 2025 20:32:32 GMT https://community.databricks.com/t5/community-articles/databricks-advent-calendar-2025-16/m-p/142029#M877 Hubert-Dudek 2025-12-16T20:32:32Z