diff --git a/plugin/trino-hive/src/main/java/io/trino/plugin/hive/HiveMetadata.java b/plugin/trino-hive/src/main/java/io/trino/plugin/hive/HiveMetadata.java
index d315f4200521..31a1da4551ae 100644
--- a/plugin/trino-hive/src/main/java/io/trino/plugin/hive/HiveMetadata.java
+++ b/plugin/trino-hive/src/main/java/io/trino/plugin/hive/HiveMetadata.java
@@ -268,6 +268,7 @@
 import static io.trino.plugin.hive.util.HiveUtil.isDeltaLakeTable;
 import static io.trino.plugin.hive.util.HiveUtil.isHiveSystemSchema;
 import static io.trino.plugin.hive.util.HiveUtil.isIcebergTable;
+import static io.trino.plugin.hive.util.HiveUtil.isSparkBucketedTable;
 import static io.trino.plugin.hive.util.HiveUtil.toPartitionValues;
 import static io.trino.plugin.hive.util.HiveUtil.verifyPartitionTypeSupported;
 import static io.trino.plugin.hive.util.HiveWriteUtils.checkTableIsWritable;
@@ -1624,6 +1625,9 @@ public ConnectorTableHandle beginUpdate(ConnectorSession session, ConnectorTable
         if (!autoCommit) {
             throw new TrinoException(NOT_SUPPORTED, "Updating transactional tables is not supported in explicit transactions (use autocommit mode)");
         }
+        if (isSparkBucketedTable(table)) {
+            throw new TrinoException(NOT_SUPPORTED, "Updating Spark bucketed tables is not supported");
+        }
 
         // Verify that none of the updated columns are partition columns or bucket columns
 
@@ -1724,6 +1728,10 @@ public HiveInsertTableHandle beginInsert(ConnectorSession session, ConnectorTabl
         if (isTransactional && !autoCommit) {
             throw new TrinoException(NOT_SUPPORTED, "Inserting into Hive transactional tables is not supported in explicit transactions (use autocommit mode)");
         }
+        if (isSparkBucketedTable(table)) {
+            throw new TrinoException(NOT_SUPPORTED, "Inserting into Spark bucketed tables is not supported");
+        }
+
         List<HiveColumnHandle> handles = hiveColumnHandles(table, typeManager, getTimestampPrecision(session)).stream()
                 .filter(columnHandle -> !columnHandle.isHidden())
                 .collect(toImmutableList());
@@ -2429,6 +2437,9 @@ public ConnectorTableHandle beginDelete(ConnectorSession session, ConnectorTable
         if (!autoCommit) {
             throw new TrinoException(NOT_SUPPORTED, "Deleting from Hive transactional tables is not supported in explicit transactions (use autocommit mode)");
         }
+        if (isSparkBucketedTable(table)) {
+            throw new TrinoException(NOT_SUPPORTED, "Deleting from Spark bucketed tables is not supported");
+        }
 
         LocationHandle locationHandle = locationService.forExistingTable(metastore, session, table);
 
diff --git a/plugin/trino-hive/src/main/java/io/trino/plugin/hive/util/HiveUtil.java b/plugin/trino-hive/src/main/java/io/trino/plugin/hive/util/HiveUtil.java
index 9486f51f3d8d..1276231d5763 100644
--- a/plugin/trino-hive/src/main/java/io/trino/plugin/hive/util/HiveUtil.java
+++ b/plugin/trino-hive/src/main/java/io/trino/plugin/hive/util/HiveUtil.java
@@ -177,6 +177,7 @@ public final class HiveUtil
 {
     public static final String SPARK_TABLE_PROVIDER_KEY = "spark.sql.sources.provider";
     public static final String DELTA_LAKE_PROVIDER = "delta";
+    public static final String SPARK_TABLE_BUCKET_NUMBER_KEY = "spark.sql.sources.schema.numBuckets";
 
     public static final String ICEBERG_TABLE_TYPE_NAME = "table_type";
     public static final String ICEBERG_TABLE_TYPE_VALUE = "iceberg";
@@ -1128,4 +1129,10 @@ public static boolean isIcebergTable(Table table)
     {
         return ICEBERG_TABLE_TYPE_VALUE.equalsIgnoreCase(table.getParameters().get(ICEBERG_TABLE_TYPE_NAME));
     }
+
+    public static boolean isSparkBucketedTable(Table table)
+    {
+        return table.getParameters().containsKey(SPARK_TABLE_PROVIDER_KEY)
+                && table.getParameters().containsKey(SPARK_TABLE_BUCKET_NUMBER_KEY);
+    }
 }
diff --git a/testing/trino-product-tests/src/main/java/io/trino/tests/product/hive/TestHiveSparkCompatibility.java b/testing/trino-product-tests/src/main/java/io/trino/tests/product/hive/TestHiveSparkCompatibility.java
index 410e7405803b..6c32d34ab2cb 100644
--- a/testing/trino-product-tests/src/main/java/io/trino/tests/product/hive/TestHiveSparkCompatibility.java
+++ b/testing/trino-product-tests/src/main/java/io/trino/tests/product/hive/TestHiveSparkCompatibility.java
@@ -213,6 +213,54 @@ public void testSparkParquetTimestampCompatibility(String sparkTimestampFormat,
         onSpark().executeQuery("DROP TABLE " + sparkTableName);
     }
 
+    @Test(groups = {HIVE_SPARK, PROFILE_SPECIFIC_TESTS})
+    public void testInsertFailsOnBucketedTableCreatedBySpark()
+    {
+        String hiveTableName = "spark_insert_bucketed_table_" + randomTableSuffix();
+
+        onSpark().executeQuery(
+                "CREATE TABLE default." + hiveTableName + "(a_key integer, a_value integer) " +
+                        "USING PARQUET " +
+                        "CLUSTERED BY (a_key) INTO 3 BUCKETS");
+
+        assertQueryFailure(() -> onTrino().executeQuery("INSERT INTO default." + hiveTableName + " VALUES (1, 100)"))
+                .hasMessageContaining("Inserting into Spark bucketed tables is not supported");
+
+        onSpark().executeQuery("DROP TABLE " + hiveTableName);
+    }
+
+    @Test(groups = {HIVE_SPARK, PROFILE_SPECIFIC_TESTS})
+    public void testUpdateFailsOnBucketedTableCreatedBySpark()
+    {
+        String hiveTableName = "spark_update_bucketed_table_" + randomTableSuffix();
+
+        onSpark().executeQuery(
+                "CREATE TABLE default." + hiveTableName + "(a_key integer, a_value integer) " +
+                        "USING ORC " +
+                        "CLUSTERED BY (a_key) INTO 3 BUCKETS");
+
+        assertQueryFailure(() -> onTrino().executeQuery("UPDATE default." + hiveTableName + " SET a_value = 100 WHERE a_key = 1"))
+                .hasMessageContaining("Updating Spark bucketed tables is not supported");
+
+        onSpark().executeQuery("DROP TABLE " + hiveTableName);
+    }
+
+    @Test(groups = {HIVE_SPARK, PROFILE_SPECIFIC_TESTS})
+    public void testDeleteFailsOnBucketedTableCreatedBySpark()
+    {
+        String hiveTableName = "spark_delete_bucketed_table_" + randomTableSuffix();
+
+        onSpark().executeQuery(
+                "CREATE TABLE default." + hiveTableName + "(a_key integer, a_value integer) " +
+                        "USING ORC " +
+                        "CLUSTERED BY (a_key) INTO 3 BUCKETS");
+
+        assertQueryFailure(() -> onTrino().executeQuery("DELETE FROM default." + hiveTableName + " WHERE a_key = 1"))
+                .hasMessageContaining("Deleting from Spark bucketed tables is not supported");
+
+        onSpark().executeQuery("DROP TABLE " + hiveTableName);
+    }
+
     private static final String[] HIVE_TIMESTAMP_PRECISIONS = new String[]{"MILLISECONDS", "MICROSECONDS", "NANOSECONDS"};
 
     @DataProvider