Nonetheless, it's welcome move from an industry leading data vendor to support more open data formats than their own. We were hoping that they would chose to collaborate on projects already in motion to further unify the communities as opposed to embedding this project inside Delta Lake code repository. The Delta UniForm launch reaffirms an urgent need in the community to build bridges between the Lakehouse table formats of Delta Lake, Apache Hudi, and Apache Iceberg. More details are covered in this blog from Snowflake.Īt the Data + AI summit, Databricks unveiled some captivating new advances for the Lakehouse, including LakehouseIQ, LakehouseAI, and notably Delta Lake 3.0 with the announcement of Delta UniForm. While it is puzzling why the feature has to continue in private preview for so long, the announcement is still a promising step forward for the community. It is very exciting to see in the keynote that they have now improved the performance with unmanaged Iceberg tables by 2x, and now offer near-parity of performance between managed Iceberg tables and Snowflake native tables. Given that Snowflake’s private preview of Iceberg tables is the method available for lakehouse integration, the Iceberg updates at the summit were of particular interest for us.Īs we documented in the past, performance was notably poor for external tables and some of our users felt they had to revert back to Snowflake native tables. Several of our customers today want to query data in Onehouse from Snowflake’s SQL Warehouse. At Snowflake Summit there was an impressive lineup of features, ranging from Document AI, Snowpark Container Services, Dynamic Tables, and updates around Iceberg support.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |