manuzhang commented on code in PR #13734:
URL: https://github.com/apache/iceberg/pull/13734#discussion_r2253101845


##########
site/docs/vendors.md:
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@@ -73,6 +73,10 @@ or any public cloud.
 
 [Crunchy Data Warehouse](https://www.crunchydata.com/products/warehouse) is a 
modern data warehouse built on PostgreSQL. Crunchy Data Warehouse extends 
unmodified PostgreSQL to provide support for fully transactional Iceberg tables 
and high performance analytics. Crunchy Data Warehouse is available as a 
managed service on AWS via [Crunchy 
Bridge](https://www.crunchydata.com/products/crunchy-bridge), fully managed 
PostgreSQL as a service. Crunchy Data Warehouse can create Iceberg tables 
directly from a PostgreSQL database or external URLs and can read, query, and 
update Iceberg tables using PostgreSQL syntax. Using a hybrid query engine that 
combines PostgreSQL and DuckDB, Crunchy Data Warehouse enables high performance 
analytical queries of Iceberg tables.
 
+### [Databricks](https://www.databricks.com/)
+
+[Databricks](https://www.databricks.com/) uses an open lakehouse architecture 
to power its Data Intelligence Platform and provide a unified foundation for 
all data and governance, combined with AI models tuned to an organization’s 
unique characteristics. Through [Unity 
Catalog](https://www.databricks.com/product/unity-catalog), users can manage 
and govern all structured data, unstructured data, business metrics and AI 
models across open data formats like Delta Lake, Apache Iceberg, Hudi, Parquet 
and more. 

Review Comment:
   This looks to mix table formats and file formats.



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