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The following commit(s) were added to refs/heads/main by this push:
     new 1a6c79b926 [DOCS] Add dbt Fusion engine and R2 Query Engine to "Known 
Users" (#17793)
1a6c79b926 is described below

commit 1a6c79b926e2086da4d86e62383074aca3a6e575
Author: Anders <[email protected]>
AuthorDate: Fri Sep 26 15:20:31 2025 -0400

    [DOCS] Add dbt Fusion engine and R2 Query Engine to "Known Users" (#17793)
    
    * Add dbt Fusion engine and R2 Query Engine
    
    * Update docs/source/user-guide/introduction.md
    
    * Update docs/source/user-guide/introduction.md
---
 docs/source/user-guide/introduction.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/source/user-guide/introduction.md 
b/docs/source/user-guide/introduction.md
index 62351b865c..9784f82f5c 100644
--- a/docs/source/user-guide/introduction.md
+++ b/docs/source/user-guide/introduction.md
@@ -103,6 +103,7 @@ Here are some active projects using DataFusion:
 - [Cube Store] Cube’s universal semantic layer platform is the next evolution 
of OLAP technology for AI, BI, spreadsheets, and embedded analytics
 - [Dask SQL] Distributed SQL query engine in Python
 - [datafusion-dft](https://github.com/datafusion-contrib/datafusion-dft) 
Batteries included CLI, TUI, and server implementations for DataFusion.
+- [dbt Fusion engine](https://github.com/dbt-labs/dbt-fusion) The dbt Fusion 
engine, written in Rust, designed for speed and correctness with a native SQL 
understanding across DWH SQL dialects.
 - [delta-rs] Native Rust implementation of Delta Lake
 - [Exon](https://github.com/wheretrue/exon) Analysis toolkit for life-science 
applications
 - [Feldera](https://github.com/feldera/feldera) Fast query engine for 
incremental computation
@@ -120,6 +121,7 @@ Here are some active projects using DataFusion:
 - [Parseable] Log storage and observability platform
 - [Polygon.io](https://polygon.io/) Stock Market API
 - [qv] Quickly view your data
+- [R2 Query Engine](https://blog.cloudflare.com/r2-sql-deep-dive/) 
Cloudflare's distributed engine for querying data in Iceberg Catalogs
 - [Restate](https://github.com/restatedev) Easily build resilient applications 
using distributed durable async/await
 - [ROAPI] Create full-fledged APIs for slowly moving datasets without writing 
a single line of code
 - [Sail](https://github.com/lakehq/sail) Unifying stream, batch and AI 
workloads with Apache Spark compatibility


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