diff --git a/spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala b/spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala
index a8a3df0c1..3b63e6311 100644
--- a/spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala
+++ b/spark/src/main/scala/org/apache/comet/serde/QueryPlanSerde.scala
@@ -1980,6 +1980,8 @@ object QueryPlanSerde extends Logging with ShimQueryPlanSerde with CometExprShim
       case _: ArraysOverlap => convert(CometArraysOverlap)
       case _ @ArrayFilter(_, func) if func.children.head.isInstanceOf[IsNotNull] =>
         convert(CometArrayCompact)
+      case _: ArrayExcept =>
+        convert(CometArrayExcept)
       case _ =>
         withInfo(expr, s"${expr.prettyName} is not supported", expr.children: _*)
         None
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 8550d5201..0e96b543d 100644
--- a/spark/src/main/scala/org/apache/comet/serde/arrays.scala
+++ b/spark/src/main/scala/org/apache/comet/serde/arrays.scala
@@ -19,7 +19,9 @@
 
 package org.apache.comet.serde
 
-import org.apache.spark.sql.catalyst.expressions.{ArrayJoin, ArrayRemove, Attribute, Expression, Literal}
+import scala.annotation.tailrec
+
+import org.apache.spark.sql.catalyst.expressions.{ArrayExcept, ArrayJoin, ArrayRemove, Attribute, Expression, Literal}
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types._
 
@@ -197,6 +199,44 @@ object CometArrayCompact extends CometExpressionSerde with IncompatExpr {
   }
 }
 
+object CometArrayExcept extends CometExpressionSerde with CometExprShim with IncompatExpr {
+
+  @tailrec
+  def isTypeSupported(dt: DataType): Boolean = {
+    import DataTypes._
+    dt match {
+      case BooleanType | ByteType | ShortType | IntegerType | LongType | FloatType | DoubleType |
+          _: DecimalType | DateType | TimestampType | TimestampNTZType | StringType =>
+        true
+      case BinaryType => false
+      case ArrayType(elementType, _) => isTypeSupported(elementType)
+      case _: StructType =>
+        false
+      case _ => false
+    }
+  }
+
+  override def convert(
+      expr: Expression,
+      inputs: Seq[Attribute],
+      binding: Boolean): Option[ExprOuterClass.Expr] = {
+    val arrayExceptExpr = expr.asInstanceOf[ArrayExcept]
+    val inputTypes = arrayExceptExpr.children.map(_.dataType).toSet
+    for (dt <- inputTypes) {
+      if (!isTypeSupported(dt)) {
+        withInfo(expr, s"data type not supported: $dt")
+        return None
+      }
+    }
+    val leftArrayExprProto = exprToProto(arrayExceptExpr.left, inputs, binding)
+    val rightArrayExprProto = exprToProto(arrayExceptExpr.right, inputs, binding)
+
+    val arrayExceptScalarExpr =
+      scalarExprToProto("array_except", leftArrayExprProto, rightArrayExprProto)
+    optExprWithInfo(arrayExceptScalarExpr, expr, expr.children: _*)
+  }
+}
+
 object CometArrayJoin extends CometExpressionSerde with IncompatExpr {
   override def convert(
       expr: Expression,
diff --git a/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala b/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
index cef48c50c..48d51842a 100644
--- a/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
+++ b/spark/src/test/scala/org/apache/comet/CometArrayExpressionSuite.scala
@@ -29,6 +29,7 @@ import org.apache.spark.sql.functions.{array, col, expr, lit, udf}
 import org.apache.spark.sql.types.StructType
 
 import org.apache.comet.CometSparkSessionExtensions.isSpark35Plus
+import org.apache.comet.serde.CometArrayExcept
 import org.apache.comet.testing.{DataGenOptions, ParquetGenerator}
 
 class CometArrayExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelper {
@@ -318,4 +319,100 @@ class CometArrayExpressionSuite extends CometTestBase with AdaptiveSparkPlanHelp
     }
   }
 
+  test("array_except - basic test (only integer values)") {
+    withSQLConf(CometConf.COMET_EXPR_ALLOW_INCOMPATIBLE.key -> "true") {
+      Seq(true, false).foreach { dictionaryEnabled =>
+        withTempDir { dir =>
+          val path = new Path(dir.toURI.toString, "test.parquet")
+          makeParquetFileAllTypes(path, dictionaryEnabled, 10000)
+          spark.read.parquet(path.toString).createOrReplaceTempView("t1")
+
+          checkSparkAnswerAndOperator(
+            sql("SELECT array_except(array(_2, _3, _4), array(_3, _4)) from t1"))
+          checkSparkAnswerAndOperator(sql("SELECT array_except(array(_18), array(_19)) from t1"))
+          checkSparkAnswerAndOperator(
+            spark.sql(
+              "SELECT array_except(array(_2, _2, _4), array(_4)) FROM t1 WHERE _2 IS NOT NULL"))
+        }
+      }
+    }
+  }
+
+  test("array_except - test all types (native Parquet reader)") {
+    withTempDir { dir =>
+      val path = new Path(dir.toURI.toString, "test.parquet")
+      val filename = path.toString
+      val random = new Random(42)
+      withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
+        ParquetGenerator.makeParquetFile(
+          random,
+          spark,
+          filename,
+          100,
+          DataGenOptions(
+            allowNull = true,
+            generateNegativeZero = true,
+            generateArray = false,
+            generateStruct = false,
+            generateMap = false))
+      }
+      withSQLConf(CometConf.COMET_EXPR_ALLOW_INCOMPATIBLE.key -> "true") {
+        val table = spark.read.parquet(filename)
+        table.createOrReplaceTempView("t1")
+        // test with array of each column
+        val fields =
+          table.schema.fields.filter(field => CometArrayExcept.isTypeSupported(field.dataType))
+        for (field <- fields) {
+          val fieldName = field.name
+          val typeName = field.dataType.typeName
+          sql(
+            s"SELECT cast(array($fieldName, $fieldName) as array<$typeName>) as a, cast(array($fieldName) as array<$typeName>) as b FROM t1")
+            .createOrReplaceTempView("t2")
+          val df = sql("SELECT array_except(a, b) FROM t2")
+          checkSparkAnswerAndOperator(df)
+        }
+      }
+    }
+  }
+
+  test("array_except - test all types (convert from Parquet)") {
+    withTempDir { dir =>
+      val path = new Path(dir.toURI.toString, "test.parquet")
+      val filename = path.toString
+      val random = new Random(42)
+      withSQLConf(CometConf.COMET_ENABLED.key -> "false") {
+        val options = DataGenOptions(
+          allowNull = true,
+          generateNegativeZero = true,
+          generateArray = true,
+          generateStruct = true,
+          generateMap = false)
+        ParquetGenerator.makeParquetFile(random, spark, filename, 100, options)
+      }
+      withSQLConf(
+        CometConf.COMET_NATIVE_SCAN_ENABLED.key -> "false",
+        CometConf.COMET_SPARK_TO_ARROW_ENABLED.key -> "true",
+        CometConf.COMET_CONVERT_FROM_PARQUET_ENABLED.key -> "true",
+        CometConf.COMET_EXPR_ALLOW_INCOMPATIBLE.key -> "true") {
+        val table = spark.read.parquet(filename)
+        table.createOrReplaceTempView("t1")
+        // test with array of each column
+        val fields =
+          table.schema.fields.filter(field => CometArrayExcept.isTypeSupported(field.dataType))
+        for (field <- fields) {
+          val fieldName = field.name
+          sql(s"SELECT array($fieldName, $fieldName) as a, array($fieldName) as b FROM t1")
+            .createOrReplaceTempView("t2")
+          val df = sql("SELECT array_except(a, b) FROM t2")
+          field.dataType match {
+            case _: StructType =>
+            // skip due to https://github.com/apache/datafusion-comet/issues/1314
+            case _ =>
+              checkSparkAnswer(df)
+          }
+        }
+      }
+    }
+  }
+
 }