diff --git a/great_expectations/data_context/data_context/abstract_data_context.py b/great_expectations/data_context/data_context/abstract_data_context.py
index e2cc75005af2..fd2916ee9e97 100644
--- a/great_expectations/data_context/data_context/abstract_data_context.py
+++ b/great_expectations/data_context/data_context/abstract_data_context.py
@@ -727,11 +727,7 @@ def update_datasource(
         Returns:
             The updated Datasource.
         """
-        if isinstance(datasource, FluentDatasource):
-            self._update_fluent_datasource(datasource=datasource)
-        else:
-            raise DataContextError("Datasource is not a FluentDatasource")  # noqa: TRY003
-        return datasource
+        return self._update_fluent_datasource(datasource=datasource)
 
     @overload
     def add_or_update_datasource(
diff --git a/tests/datasource/fluent/test_contexts.py b/tests/datasource/fluent/test_contexts.py
index a0ca6541ae4c..f3a20663f06e 100644
--- a/tests/datasource/fluent/test_contexts.py
+++ b/tests/datasource/fluent/test_contexts.py
@@ -24,6 +24,9 @@
 from great_expectations.datasource.fluent.constants import (
     DEFAULT_PANDAS_DATA_ASSET_NAME,
 )
+from great_expectations.datasource.fluent.pandas_filesystem_datasource import (
+    PandasFilesystemDatasource,
+)
 from tests.datasource.fluent._fake_cloud_api import (
     DEFAULT_HEADERS,
     FAKE_ORG_ID,
@@ -180,6 +183,46 @@ def test_delete_asset_with_cloud_data_context(
     assert asset_name not in asset_names
 
 
+@pytest.mark.cloud
+def test_context_update_datasource(
+    cloud_api_fake: RequestsMock,
+    empty_cloud_context_fluent: CloudDataContext,
+    # db_file: pathlib.Path, TODO: sqlite deser broken
+    taxi_data_samples_dir: pathlib.Path,
+):
+    context = empty_cloud_context_fluent
+
+    datasource = context.data_sources.add_pandas_filesystem(
+        name="save_ds_test", base_directory=taxi_data_samples_dir
+    )
+    datasource.add_csv_asset(name="my_asset")
+
+    # TODO: adjust call counts as needed
+    datasources_url = urllib.parse.urljoin(
+        GX_CLOUD_MOCK_BASE_URL, f"api/v1/organizations/{FAKE_ORG_ID}/datasources"
+    )
+    cloud_api_fake.assert_call_count(
+        datasources_url,
+        2,
+    )
+    cloud_api_fake.assert_call_count(
+        f"{datasources_url}/{datasource.id}?name={datasource.name}",
+        2,
+    )
+
+    response = requests.get(f"{datasources_url}/{datasource.id}")
+    response.raise_for_status()
+    assert response.json()["data"].get("assets")
+
+    # update an arbitrary field
+    datasource.base_directory = taxi_data_samples_dir / "foo"
+
+    updated_datasource = context.update_datasource(datasource)
+    assert isinstance(updated_datasource, PandasFilesystemDatasource)
+    assert updated_datasource.base_directory == datasource.base_directory
+    assert updated_datasource is not datasource  # we should return the new one
+
+
 # This test is parameterized by the fixture `empty_context`. This fixture will mark the test as
 # cloud or filesystem as appropriate
 def test_context_add_or_update_datasource(