diff --git a/samples/samples/batch_sample.py b/samples/samples/batch_sample.py
index 69913ac4b3..d11dd5f95a 100644
--- a/samples/samples/batch_sample.py
+++ b/samples/samples/batch_sample.py
@@ -50,7 +50,7 @@ def run_batch_query(instance_id, database_id):
         # A Partition object is serializable and can be used from a different process.
         # DataBoost option is an optional parameter which can also be used for partition read
         # and query to execute the request via spanner independent compute resources.
-        data_boost_enabled=True,
+        data_boost_enabled=False,
     )
 
     # Create a pool of workers for the tasks
diff --git a/tests/system/test_session_api.py b/tests/system/test_session_api.py
index 7d58324b04..3fd30958b7 100644
--- a/tests/system/test_session_api.py
+++ b/tests/system/test_session_api.py
@@ -1890,7 +1890,7 @@ def test_partition_read_w_index(sessions_database, not_emulator):
         columns,
         spanner_v1.KeySet(all_=True),
         index="name",
-        data_boost_enabled=True,
+        data_boost_enabled=False,
     )
     for batch in batches:
         p_results_iter = batch_txn.process(batch)
@@ -2507,7 +2507,7 @@ def test_partition_query(sessions_database, not_emulator):
     all_data_rows = set(_row_data(row_count))
     union = set()
     batch_txn = sessions_database.batch_snapshot(read_timestamp=committed)
-    for batch in batch_txn.generate_query_batches(sql, data_boost_enabled=True):
+    for batch in batch_txn.generate_query_batches(sql, data_boost_enabled=False):
         p_results_iter = batch_txn.process(batch)
         # Lists aren't hashable so the results need to be converted
         rows = [tuple(result) for result in p_results_iter]