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new b2f64119f Publish built docs triggered by
633b25d764d0df080a35b20070960024ae5a8659
b2f64119f is described below
commit b2f64119f89f93f4327813e3b37073c2fda165cd
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Jul 28 17:33:54 2025 +0000
Publish built docs triggered by 633b25d764d0df080a35b20070960024ae5a8659
---
_sources/user-guide/gluten_comparison.md.txt | 4 ++--
searchindex.js | 2 +-
user-guide/gluten_comparison.html | 4 ++--
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/_sources/user-guide/gluten_comparison.md.txt
b/_sources/user-guide/gluten_comparison.md.txt
index c1c9fec59..c30b5f0c6 100644
--- a/_sources/user-guide/gluten_comparison.md.txt
+++ b/_sources/user-guide/gluten_comparison.md.txt
@@ -41,9 +41,9 @@ does not plan to support multiple engines, but rather focus
on a tight integrati
One of the main differences between Comet and Gluten is the choice of native
execution engine.
-Gluten uses Velox, which is a vectorized query engine implemented in C++ and
is maintained by Meta.
+Gluten uses Velox, which is an open-source C++ vectorized query engine created
by Meta.
-Comet uses DataFusion, which is a vectorized query engine implemented in Rust
and is maintained by the
+Comet uses Apache DataFusion, which is an open-source vectorized query engine
implemented in Rust and is governed by the
Apache Software Foundation.
Velox and DataFusion are both mature query engines that are growing in
popularity.
diff --git a/searchindex.js b/searchindex.js
index 2ab8c51f2..603857eb5 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"1. Install Comet": [[11, "install-comet"]],
"2. Clone Spark and Apply Diff": [[11, "clone-spark-and-apply-diff"]], "3. Run
Spark SQL Tests": [[11, "run-spark-sql-tests"]], "ANSI Mode": [[14,
"ansi-mode"]], "API Differences Between Spark Versions": [[0,
"api-differences-between-spark-versions"]], "ASF Links": [[13, null]],
"Accelerating Apache Iceberg Parquet Scans using Comet (Experimental)": [[20,
null]], "Adding Spark-side Tests for the New Expression": [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"1. Install Comet": [[11, "install-comet"]],
"2. Clone Spark and Apply Diff": [[11, "clone-spark-and-apply-diff"]], "3. Run
Spark SQL Tests": [[11, "run-spark-sql-tests"]], "ANSI Mode": [[14,
"ansi-mode"]], "API Differences Between Spark Versions": [[0,
"api-differences-between-spark-versions"]], "ASF Links": [[13, null]],
"Accelerating Apache Iceberg Parquet Scans using Comet (Experimental)": [[20,
null]], "Adding Spark-side Tests for the New Expression": [...]
\ No newline at end of file
diff --git a/user-guide/gluten_comparison.html
b/user-guide/gluten_comparison.html
index dbbf65d61..5f37a4007 100644
--- a/user-guide/gluten_comparison.html
+++ b/user-guide/gluten_comparison.html
@@ -400,8 +400,8 @@ does not plan to support multiple engines, but rather focus
on a tight integrati
<section id="underlying-execution-engine-datafusion-vs-velox">
<h2>Underlying Execution Engine: DataFusion vs Velox<a class="headerlink"
href="#underlying-execution-engine-datafusion-vs-velox" title="Link to this
heading">ΒΆ</a></h2>
<p>One of the main differences between Comet and Gluten is the choice of
native execution engine.</p>
-<p>Gluten uses Velox, which is a vectorized query engine implemented in C++
and is maintained by Meta.</p>
-<p>Comet uses DataFusion, which is a vectorized query engine implemented in
Rust and is maintained by the
+<p>Gluten uses Velox, which is an open-source C++ vectorized query engine
created by Meta.</p>
+<p>Comet uses Apache DataFusion, which is an open-source vectorized query
engine implemented in Rust and is governed by the
Apache Software Foundation.</p>
<p>Velox and DataFusion are both mature query engines that are growing in
popularity.</p>
<p>Comet may be a better choice for users with plans for integrating with
other Rust software in the future, and
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