diff --git a/tests/hypothesis/concat_test.py b/tests/hypothesis/concat_test.py
deleted file mode 100644
index e0ec45369..000000000
--- a/tests/hypothesis/concat_test.py
+++ /dev/null
@@ -1,65 +0,0 @@
-from __future__ import annotations
-
-from typing import Literal
-
-import pandas as pd
-import polars as pl
-import pytest
-from hypothesis import given
-from hypothesis import strategies as st
-
-import narwhals.stable.v1 as nw
-from tests.utils import assert_equal_data
-from tests.utils import is_windows
-
-
-@given(
-    integers=st.lists(
-        st.integers(min_value=-9223372036854775807, max_value=9223372036854775807),
-        min_size=3,
-        max_size=3,
-    ),
-    other_integers=st.lists(
-        st.integers(min_value=-9223372036854775807, max_value=9223372036854775807),
-        min_size=3,
-        max_size=3,
-    ),
-    floats=st.lists(
-        st.floats(),
-        min_size=3,
-        max_size=3,
-    ),
-    how=st.sampled_from(["horizontal", "vertical"]),
-)  # type: ignore[misc]
-@pytest.mark.slow
-@pytest.mark.skipif(is_windows(), reason="pyarrow breaking on windows")
-def test_concat(  # pragma: no cover
-    integers: list[int],
-    other_integers: list[int],
-    floats: list[float],
-    how: Literal["horizontal", "vertical"],
-) -> None:
-    data = {"a": integers, "b": other_integers, "c": floats}
-
-    df_polars = pl.DataFrame(data)
-    df_polars2 = pl.DataFrame(data)
-    df_pandas = pd.DataFrame(data)
-    df_pandas2 = pd.DataFrame(data)
-
-    if how == "horizontal":
-        df_pl = nw.from_native(df_polars).rename({"a": "d", "b": "e"}).drop("c").lazy()
-        df_pd = nw.from_native(df_pandas).rename({"a": "d", "b": "e"}).drop("c").lazy()
-    else:
-        df_pl = nw.from_native(df_polars, eager_only=True).lazy()
-        df_pd = nw.from_native(df_pandas, eager_only=True).lazy()
-
-    other_pl = nw.from_native(df_polars2, eager_only=True).lazy()
-    dframe_pl = nw.concat([df_pl, other_pl], how=how)
-
-    other_pd = nw.from_native(df_pandas2).lazy()
-    dframe_pd = nw.concat([df_pd, other_pd], how=how)
-
-    dframe_pd1 = nw.to_native(dframe_pl)
-    dframe_pd2 = nw.to_native(dframe_pd)
-
-    assert_equal_data(dframe_pd1, dframe_pd2)
diff --git a/tests/utils.py b/tests/utils.py
index 73ba50164..907eafa6a 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -80,6 +80,10 @@ def assert_equal_data(result: Any, expected: dict[str, Any]) -> None:
         sort_key = next(iter(expected.keys()))
         expected = _sort_dict_by_key(expected, sort_key)
         result = _sort_dict_by_key(result, sort_key)
+    assert list(result.keys()) == list(
+        expected.keys()
+    ), f"Result keys {result.keys()}, expected keys: {expected.keys()}"
+
     for key, expected_value in expected.items():
         result_value = result[key]
         for i, (lhs, rhs) in enumerate(zip_strict(result_value, expected_value)):