diff --git a/docs/sql-migration-guide.md b/docs/sql-migration-guide.md
index 1e0fdadde1e3c..07562babc87dd 100644
--- a/docs/sql-migration-guide.md
+++ b/docs/sql-migration-guide.md
@@ -25,6 +25,7 @@ license: |
 ## Upgrading from Spark SQL 3.5 to 4.0
 
 - Since Spark 4.0, `spark.sql.ansi.enabled` is on by default. To restore the previous behavior, set `spark.sql.ansi.enabled` to `false` or `SPARK_ANSI_SQL_MODE` to `false`.
+- Since Spark 4.0, `CREATE TABLE` syntax without `USING` and `STORED AS` will use the value of `spark.sql.sources.default` as the table provider instead of `Hive`. To restore the previous behavior, set `spark.sql.legacy.createHiveTableByDefault` to `true`.
 - Since Spark 4.0, the default behaviour when inserting elements in a map is changed to first normalize keys -0.0 to 0.0. The affected SQL functions are `create_map`, `map_from_arrays`, `map_from_entries`, and `map_concat`. To restore the previous behaviour, set `spark.sql.legacy.disableMapKeyNormalization` to `true`.
 - Since Spark 4.0, the default value of `spark.sql.maxSinglePartitionBytes` is changed from `Long.MaxValue` to `128m`. To restore the previous behavior, set `spark.sql.maxSinglePartitionBytes` to `9223372036854775807`(`Long.MaxValue`).
 - Since Spark 4.0, any read of SQL tables takes into consideration the SQL configs `spark.sql.files.ignoreCorruptFiles`/`spark.sql.files.ignoreMissingFiles` instead of the core config `spark.files.ignoreCorruptFiles`/`spark.files.ignoreMissingFiles`.
diff --git a/python/pyspark/sql/tests/test_readwriter.py b/python/pyspark/sql/tests/test_readwriter.py
index 5784d2c729739..e752856d03164 100644
--- a/python/pyspark/sql/tests/test_readwriter.py
+++ b/python/pyspark/sql/tests/test_readwriter.py
@@ -247,10 +247,9 @@ def test_create(self):
 
     def test_create_without_provider(self):
         df = self.df
-        with self.assertRaisesRegex(
-            AnalysisException, "NOT_SUPPORTED_COMMAND_WITHOUT_HIVE_SUPPORT"
-        ):
+        with self.table("test_table"):
             df.writeTo("test_table").create()
+            self.assertEqual(100, self.spark.sql("select * from test_table").count())
 
     def test_table_overwrite(self):
         df = self.df
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
index ac4a4ef90d0df..df4675865337b 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
@@ -4457,7 +4457,7 @@ object SQLConf {
         s"instead of the value of ${DEFAULT_DATA_SOURCE_NAME.key} as the table provider.")
       .version("3.1.0")
       .booleanConf
-      .createWithDefault(true)
+      .createWithDefault(false)
 
   val LEGACY_CHAR_VARCHAR_AS_STRING =
     buildConf("spark.sql.legacy.charVarcharAsString")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
index 60f86ede7279e..f004ab7137f79 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/command/PlanResolutionSuite.scala
@@ -2847,11 +2847,9 @@ class PlanResolutionSuite extends AnalysisTest {
     assert(desc.viewText.isEmpty)
     assert(desc.viewQueryColumnNames.isEmpty)
     assert(desc.storage.locationUri.isEmpty)
-    assert(desc.storage.inputFormat ==
-        Some("org.apache.hadoop.mapred.TextInputFormat"))
-    assert(desc.storage.outputFormat ==
-        Some("org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat"))
-    assert(desc.storage.serde == Some("org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"))
+    assert(desc.storage.inputFormat.isEmpty)
+    assert(desc.storage.outputFormat.isEmpty)
+    assert(desc.storage.serde.isEmpty)
     assert(desc.storage.properties.isEmpty)
     assert(desc.properties.isEmpty)
     assert(desc.comment.isEmpty)