NNhanptnk commented on code in PR #21105:
URL: https://github.com/apache/datafusion/pull/21105#discussion_r2982839584
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dev/wiki/apache-datafusion.wikitext:
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@@ -0,0 +1,113 @@
+<!--
+Draft Wikipedia article.
+-->
+
+{{Short description|Open-source query engine}}
+{{Draft topics|technology|software}}
+{{Infobox software
+| name = Apache DataFusion
+| developer = [[Apache Software Foundation]]
+| programming language = [[Rust (programming language)|Rust]]
+| genre = Query engine
+| license = [[Apache License]]
+| website = {{URL|https://datafusion.apache.org/}}
+}}
+
+'''Apache DataFusion''' is an [[open-source software|open-source]], embeddable
analytical query engine written in [[Rust (programming language)|Rust]], built
on [[Apache Arrow]]'s columnar memory format.<ref name="sigmod-paper">{{cite
journal |last1=Lamb |first1=Andrew |last2=Shen |first2=Yijie |last3=Heres
|first3=Daniel |last4=Chakraborty |first4=Jayjeet |last5=Kabak |first5=Mehmet
Ozan |last6=Hsieh |first6=Liang-Chi |last7=Sun |first7=Chao |title=Apache Arrow
DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
|journal=Proceedings of the 2024 International Conference on Management of Data
|year=2024 |doi=10.1145/3626246.3653368}}</ref><ref name="intro-docs">{{cite
web |title=Introduction
|url=https://datafusion.apache.org/user-guide/introduction.html |website=Apache
DataFusion |publisher=Apache Software Foundation
|access-date=2026-03-22}}</ref> It provides [[SQL]] and DataFrame interfaces
for analytical query execution and is designed to be used as a library by
develop
ers building databases, query engines, and analytical tools, rather than as a
standalone database server.<ref name="sigmod-paper" /><ref name="intro-docs" />
The project originated in 2017, was donated to the [[Apache Arrow]] project in
2019, and became a top-level project of the [[Apache Software Foundation]] in
2024.<ref name="donation-post">{{cite web |title=DataFusion: A Rust-native
Query Engine for Apache Arrow
|url=https://datafusion.apache.org/blog/2019/02/04/datafusion-donation/
|website=Apache DataFusion Blog |publisher=Apache Software Foundation
|date=2019-02-04 |access-date=2026-03-22}}</ref><ref name="asf-tlp">{{cite web
|title=Apache Software Foundation Announces New Top-Level Project Apache
DataFusion
|url=https://news.apache.org/foundation/entry/apache-software-foundation-announces-new-top-level-project-apache-datafusion
|website=The ASF Blog |publisher=Apache Software Foundation |date=2024-06-11
|access-date=2026-03-22}}</ref>
Review Comment:
> It provides [[SQL]] and DataFrame interfaces for analytical query
execution and is designed to be used as a library by developers building
databases, query engines, and analytical tools, rather than as a standalone
database server.<ref name="sigmod-paper" /><ref name="intro-docs" />
I think we can make this a bit better in the sense of introducing DataFusion
and its uniqueness. Here's what I think :
Often described as the "LLVM for Databases," [Source 1] Apache DataFusion is
a modular, Arrow-native query engine library designed for embedding into custom
systems rather than operating as a monolithic standalone server [Source 2 and
3]. This high-performance Rust framework provides a composable foundation,
allowing developers to precisely extend query planning and vectorized execution
to meet unique architectural requirements. [Source 2 and 3]
Source 1 : https://midas.bu.edu/assets/slides/andrew_lamb_slides.pdf (cc
@alamb )
Source 2 and 3 (this is the first two reference) : <ref
name="sigmod-paper">{{cite journal |last1=Lamb |first1=Andrew |last2=Shen
|first2=Yijie |last3=Heres |first3=Daniel |last4=Chakraborty |first4=Jayjeet
|last5=Kabak |first5=Mehmet Ozan |last6=Hsieh |first6=Liang-Chi |last7=Sun
|first7=Chao |title=Apache Arrow DataFusion: A Fast, Embeddable, Modular
Analytic Query Engine |journal=Proceedings of the 2024 International Conference
on Management of Data |year=2024 |doi=10.1145/3626246.3653368}}</ref><ref
name="intro-docs">{{cite web |title=Introduction
|url=https://datafusion.apache.org/user-guide/introduction.html |website=Apache
DataFusion |publisher=Apache Software Foundation |access-date=2026-03-22}}</ref>
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