diff --git a/docarray/array/storage/sqlite/backend.py b/docarray/array/storage/sqlite/backend.py
index d1605292143..f69200efdea 100644
--- a/docarray/array/storage/sqlite/backend.py
+++ b/docarray/array/storage/sqlite/backend.py
@@ -32,6 +32,8 @@ class SqliteConfig:
     table_name: Optional[str] = None
     serialize_config: Dict = field(default_factory=dict)
     conn_config: Dict = field(default_factory=dict)
+    journal_mode: str = 'DELETE'
+    synchronous: str = 'OFF'
 
 
 class BackendMixin(BaseBackendMixin):
@@ -69,7 +71,9 @@ def _init_storage(
             'Document', lambda x: Document.from_bytes(x, **config.serialize_config)
         )
 
-        _conn_kwargs = dict(detect_types=sqlite3.PARSE_DECLTYPES)
+        _conn_kwargs = dict(
+            detect_types=sqlite3.PARSE_DECLTYPES, check_same_thread=False
+        )
         _conn_kwargs.update(config.conn_config)
         if config.connection is None:
             self._connection = sqlite3.connect(
@@ -83,6 +87,8 @@ def _init_storage(
             raise TypeError(
                 f'connection argument must be None or a string or a sqlite3.Connection, not `{type(config.connection)}`'
             )
+        self._connection.execute(f'PRAGMA synchronous={config.synchronous}')
+        self._connection.execute(f'PRAGMA journal_mode={config.journal_mode}')
 
         self._table_name = (
             _sanitize_table_name(self.__class__.__name__ + random_identity())
diff --git a/tests/unit/array/mixins/test_parallel.py b/tests/unit/array/mixins/test_parallel.py
index 9f332ae7264..396a472b81d 100644
--- a/tests/unit/array/mixins/test_parallel.py
+++ b/tests/unit/array/mixins/test_parallel.py
@@ -110,3 +110,22 @@ def test_map_lambda(pytestconfig, da_cls):
 
     for d in da.map(lambda x: x.load_uri_to_image_tensor()):
         assert d.tensor is not None
+
+
+@pytest.mark.parametrize('storage', ['memory', 'sqlite'])
+@pytest.mark.parametrize('backend', ['thread', 'process'])
+def test_apply_diff_backend_storage(storage, backend):
+    da = DocumentArray(
+        (Document(text='hello world she smiled too much') for _ in range(1000)),
+        storage=storage,
+    )
+    da.apply(lambda d: d.embed_feature_hashing(), backend=backend)
+
+    q = (
+        Document(text='she smiled too much')
+        .embed_feature_hashing()
+        .match(da, metric='jaccard', use_scipy=True)
+    )
+
+    assert len(q.matches[:5, ('text', 'scores__jaccard__value')]) == 2
+    assert len(q.matches[:5, ('text', 'scores__jaccard__value')][0]) == 5