kosiew commented on code in PR #26926:
URL: https://github.com/apache/datafusion/pull/26926#discussion_r4450452523


##########
docs/source/user-guide/introduction.md:
##########
@@ -91,98 +91,83 @@ parallelized streaming execution plans, file format 
support, etc.
 
 ## Known Users
 
-Here are some active projects using DataFusion:
+Projects with a public GitHub repository must meet **all** of these criteria to
+appear in the active list:
+
+- At least one commit on the default branch in the last 6 months (calendar 
months).
+- At least 100 stars.
+- At least 5 contributors, as shown in the repository's GitHub sidebar.
 
- <!-- "Active" means github repositories that had at least one commit in the 
last 6 months -->
+Check these criteria when adding or updating an entry. Projects without a 
public
+repository must instead link to public evidence of DataFusion use, such as a 
blog
+post or documentation page. These criteria apply to Known Users, not the
+Integrations and Extensions lists below.
+
+Here are some active projects using DataFusion:
 
 - [Arroyo](https://github.com/ArroyoSystems/arroyo) Distributed stream 
processing engine in Rust
 - [ArkFlow](https://github.com/arkflow-rs/arkflow) High-performance Rust 
stream processing engine
-- [Auron] The Auron accelerator for big data engine (e.g., Spark, Flink) 
leverages native vectorized execution to accelerate query processing
-- [Ballista] Distributed SQL Query Engine
-- [CnosDB] Open Source Distributed Time Series Database
+- [Auron](https://github.com/apache/auron) The Auron accelerator for big data 
engine (e.g., Spark, Flink) leverages native vectorized execution to accelerate 
query processing

Review Comment:
   updated



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