nastra commented on code in PR #13128:
URL: https://github.com/apache/iceberg/pull/13128#discussion_r2106662135


##########
site/docs/vendors.md:
##########
@@ -124,10 +124,18 @@ Starburst is a commercial offering for the [Trino query 
engine](https://trino.io
 
 [Tabular](https://tabular.io/) is a managed warehouse and automation platform. 
Tabular offers a central store for analytic data that can be used with any 
query engine or processing framework that supports Iceberg. Tabular warehouses 
add role-based access control and automatic optimization, clustering, and 
compaction to Iceberg tables.
 
+### [Tinybird](https://tinybird.co)
+
+[Tinybird](https://tinybird.co) is a real-time data platform that lets 
developers and data teams build fast APIs on top of analytical data using SQL. 
It now offers native support for Apache Iceberg through ClickHouse’s [iceberg() 
table 
function](https://www.tinybird.co/docs/forward/get-data-in/table-functions/iceberg),
 allowing seamless querying of Iceberg tables stored in S3.
+
+This integration enables low-latency, high-concurrency access to Iceberg data, 
with Tinybird handling ingestion, transformation, and API publishing. 
Developers can now leverage Iceberg for open storage and governance, while 
using Tinybird for blazing-fast query performance and real-time delivery.
+
+Learn more in the [Tinybird 
documentation](https://www.tinybird.co/docs/forward/get-data-in/table-functions/iceberg).
+
 ### [Upsolver](https://upsolver.com)
 
 [Upsolver](https://upsolver.com) is a streaming data ingestion and table 
management solution for Apache Iceberg. With Upsolver, users can easily ingest 
batch and streaming data from files, streams and databases (CDC) into [Iceberg 
tables](https://docs.upsolver.com/content/reference-1/sql-commands/iceberg-tables/upsolver-managed-tables).
 In addition, Upsolver connects to your existing REST and Hive catalogs, and 
[analyzes the 
health](https://docs.upsolver.com/content/how-to-guides-1/apache-iceberg/optimize-your-iceberg-tables)
 of your tables. Use Upsolver to continuously optimize tables by compacting 
small files, sorting and compressing, repartitioning, and cleaning up dangling 
files and expired manifests. Upsolver is available from the [Upsolver 
Cloud](https://www.upsolver.com/sqlake-signup-wp) or can be deployed in your 
AWS VPC.
 
 ### [VeloDB](https://velodb.io)
 
-[VeloDB](https://www.velodb.io/) is a commercial data warehouse powered by 
[Apache Doris](https://doris.apache.org/), an open-source, real-time data 
warehouse. It also provides powerful [query acceleration for Iceberg tables and 
efficient data 
writeback](https://doris.apache.org/docs/dev/lakehouse/catalogs/iceberg-catalog).
 VeloDB offers [enterprise version](https://www.velodb.io/enterprise) and 
[cloud service](https://www.velodb.io/cloud), which are fully compatible with 
open-source Apache Doris. Quick start with Apache Doris and Apache Iceberg 
[here](https://doris.apache.org/docs/lakehouse/lakehouse-best-practices/doris-iceberg).
+[VeloDB](https://www.velodb.io/) is a commercial data warehouse powered by 
[Apache Doris](https://doris.apache.org/), an open-source, real-time data 
warehouse. It also provides powerful [query acceleration for Iceberg tables and 
efficient data 
writeback](https://doris.apache.org/docs/dev/lakehouse/catalogs/iceberg-catalog).
 VeloDB offers [enterprise version](https://www.velodb.io/enterprise) and 
[cloud service](https://www.velodb.io/cloud), which are fully compatible with 
open-source Apache Doris. Quick start with Apache Doris and Apache Iceberg 
[here](https://doris.apache.org/docs/lakehouse/lakehouse-best-practices/doris-iceberg).

Review Comment:
   seems like this removed a newline at the end of the file



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