diff --git a/docs/source/user-guide/latest/compatibility.md b/docs/source/user-guide/latest/compatibility.md
index b81c6c869b..1ed805513b 100644
--- a/docs/source/user-guide/latest/compatibility.md
+++ b/docs/source/user-guide/latest/compatibility.md
@@ -60,8 +60,6 @@ the [Comet Supported Expressions Guide](expressions.md) for more information on
 
 ### Array Expressions
 
-- **ArrayRemove**: Returns null when the element to remove is null, instead of removing null elements from the array.
-  [#3173](https://github.com/apache/datafusion-comet/issues/3173)
 - **ArraysOverlap**: Inconsistent behavior when arrays contain NULL values.
   [#3645](https://github.com/apache/datafusion-comet/issues/3645),
   [#2036](https://github.com/apache/datafusion-comet/issues/2036)
diff --git a/docs/source/user-guide/latest/expressions.md b/docs/source/user-guide/latest/expressions.md
index e269ae10c0..16c0823475 100644
--- a/docs/source/user-guide/latest/expressions.md
+++ b/docs/source/user-guide/latest/expressions.md
@@ -243,7 +243,7 @@ Comet supports using the following aggregate functions within window contexts wi
 | ArrayJoin      | No                |                                                                                                                                                                                           |
 | ArrayMax       | Yes               |                                                                                                                                                                                           |
 | ArrayMin       | Yes               |                                                                                                                                                                                           |
-| ArrayRemove    | No                | Returns null when element is null instead of removing null elements ([#3173](https://github.com/apache/datafusion-comet/issues/3173))                                                     |
+| ArrayRemove    | Yes               |                                                                                                                                                                                           |
 | ArrayRepeat    | No                |                                                                                                                                                                                           |
 | ArrayUnion     | No                | Behaves differently than spark. Comet sorts the input arrays before performing the union, while Spark preserves the order of the first array and appends unique elements from the second. |
 | ArraysOverlap  | No                |                                                                                                                                                                                           |
diff --git a/spark/src/main/scala/org/apache/comet/serde/arrays.scala b/spark/src/main/scala/org/apache/comet/serde/arrays.scala
index ccfb4f4bf8..f107d5b309 100644
--- a/spark/src/main/scala/org/apache/comet/serde/arrays.scala
+++ b/spark/src/main/scala/org/apache/comet/serde/arrays.scala
@@ -35,12 +35,6 @@ object CometArrayRemove
     with CometExprShim
     with ArraysBase {
 
-  override def getSupportLevel(expr: ArrayRemove): SupportLevel =
-    Incompatible(
-      Some(
-        "Returns null when element is null instead of removing null elements" +
-          " (https://github.com/apache/datafusion-comet/issues/3173)"))
-
   override def convert(
       expr: ArrayRemove,
       inputs: Seq[Attribute],
@@ -55,34 +49,7 @@ object CometArrayRemove
     val arrayExprProto = exprToProto(expr.left, inputs, binding)
     val keyExprProto = exprToProto(expr.right, inputs, binding)
 
-    val arrayRemoveScalarExpr =
-      scalarFunctionExprToProto("array_remove_all", arrayExprProto, keyExprProto)
-
-    val isNotNullExpr = createUnaryExpr(
-      expr,
-      expr.right,
-      inputs,
-      binding,
-      (builder, unaryExpr) => builder.setIsNotNull(unaryExpr))
-
-    val nullLiteralProto = exprToProto(Literal(null, expr.right.dataType), Seq.empty)
-
-    if (arrayRemoveScalarExpr.isDefined && isNotNullExpr.isDefined && nullLiteralProto.isDefined) {
-      val caseWhenExpr = ExprOuterClass.CaseWhen
-        .newBuilder()
-        .addWhen(isNotNullExpr.get)
-        .addThen(arrayRemoveScalarExpr.get)
-        .setElseExpr(nullLiteralProto.get)
-        .build()
-      Some(
-        ExprOuterClass.Expr
-          .newBuilder()
-          .setCaseWhen(caseWhenExpr)
-          .build())
-    } else {
-      withInfo(expr, expr.children: _*)
-      None
-    }
+    scalarFunctionExprToProto("array_remove_all", arrayExprProto, keyExprProto)
   }
 }
 
diff --git a/spark/src/test/resources/sql-tests/expressions/array/array_remove.sql b/spark/src/test/resources/sql-tests/expressions/array/array_remove.sql
index aead1fa44d..a5b20c756f 100644
--- a/spark/src/test/resources/sql-tests/expressions/array/array_remove.sql
+++ b/spark/src/test/resources/sql-tests/expressions/array/array_remove.sql
@@ -24,15 +24,15 @@ CREATE TABLE test_array_remove(arr array<int>, val int) USING parquet
 statement
 INSERT INTO test_array_remove VALUES (array(1, 2, 3, 2), 2), (array(1, 2, 3), 4), (array(), 1), (NULL, 1), (array(1, NULL, 3), NULL)
 
-query spark_answer_only
+query
 SELECT array_remove(arr, val) FROM test_array_remove
 
 -- column + literal
-query spark_answer_only
+query
 SELECT array_remove(arr, 2) FROM test_array_remove
 
 -- literal + column
-query spark_answer_only
+query
 SELECT array_remove(array(1, 2, 3, 2), val) FROM test_array_remove
 
 -- literal + literal
diff --git a/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala b/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
index fb5531a573..bb519492db 100644
--- a/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
@@ -137,7 +137,7 @@ class CometArrayExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelp
         sql("SELECT array(struct(_1, _2)) as a, struct(_1, _2) as b FROM t1")
           .createOrReplaceTempView("t2")
         val expectedFallbackReason =
-          "is not fully compatible with Spark"
+          "data type not supported"
         checkSparkAnswerAndFallbackReason(
           sql("SELECT array_remove(a, b) FROM t2"),
           expectedFallbackReason)