diff --git a/asv_bench/benchmarks/utils/common.py b/asv_bench/benchmarks/utils/common.py
index 81f2292a5fc..12151edfda8 100644
--- a/asv_bench/benchmarks/utils/common.py
+++ b/asv_bench/benchmarks/utils/common.py
@@ -458,11 +458,11 @@ def trigger_import(*dfs):
     *dfs : iterable
         DataFrames to trigger import.
     """
-    if ASV_USE_STORAGE_FORMAT != "hdk" or ASV_USE_IMPL == "pandas":
-        return
-
     for df in dfs:
-        df._query_compiler._modin_frame.force_import()
+        if hasattr(df, "_query_compiler"):
+            modin_frame = df._query_compiler._modin_frame
+            if hasattr(modin_frame, "force_import"):
+                modin_frame.force_import()
 
 
 def execute(
diff --git a/modin/utils.py b/modin/utils.py
index 6aba77f530f..0bf8cb14f3f 100644
--- a/modin/utils.py
+++ b/modin/utils.py
@@ -606,6 +606,41 @@ def try_cast_to_pandas(obj: Any, squeeze: bool = False) -> Any:
     return obj
 
 
+def trigger_import(df: Any):
+    """
+    Trigger import execution for DataFrames obtained by HDK engine.
+
+    Parameters
+    ----------
+    df : Any
+        DataFrames to trigger import.
+    """
+    if hasattr(df, "_query_compiler"):
+        modin_frame = df._query_compiler._modin_frame
+        if hasattr(modin_frame, "force_import"):
+            modin_frame.force_import()
+
+
+def wait_computations(obj: Any, *, trigger_hdk_import: bool = False):
+    """Make sure obj's computations finished."""
+    if not hasattr(obj, "_query_compiler"):
+        return
+
+    if Engine.get() == "Native":
+        if trigger_hdk_import:
+            trigger_import(obj)
+        else:
+            obj._query_compiler._modin_frame._execute()
+        return
+
+    obj._query_compiler.finalize()
+
+    partitions = obj._query_compiler._modin_frame._partitions.flatten()
+    mgr_cls = obj._query_compiler._modin_frame._partition_mgr_cls
+    if len(partitions) and hasattr(mgr_cls, "wait_partitions"):
+        mgr_cls.wait_partitions(partitions)
+
+
 def wrap_into_list(*args: Any, skipna: bool = True) -> List[Any]:
     """
     Wrap a sequence of passed values in a flattened list.