nastra commented on code in PR #16443:
URL: https://github.com/apache/iceberg/pull/16443#discussion_r3281890540


##########
site/docs/vendors.md:
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@@ -77,6 +77,10 @@ or any public cloud.
 
 [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.
 
+### [Dataddo](https://www.dataddo.com/)
+
+[Dataddo](https://www.dataddo.com/) is a unified data integration platform for 
moving enterprise data across cloud, on-prem, and hybrid environments. It 
enables reliable, governed, and observable data movement from SaaS, ERPs, 
databases, files, and APIs into any destination (including open data lakes and 
lakehouses), helping organizations meet compliance and operational requirements 
at scale. Dataddo fully supports Apache Iceberg destinations, including [Apache 
Iceberg on 
AWS](https://builder.aws.com/content/397JB7LWY1N13Y4QmWEU2eXsX7B/building-open-data-lakes-on-aws-with-apache-iceberg-and-dataddo).

Review Comment:
   it looks like typically all vendors only mention links that they fully 
control but this one links to an AWS site



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