关于python：Pandas msgpack vs pickle

Pandas msgpack vs pickle

Pandas中的msgpack应该是pickle的替代品。

根据msgpack上的Pandas文档：

This is a lightweight portable binary format, similar to binary JSON,
that is highly space efficient, and provides good performance both on
the writing (serialization), and reading (deserialization).

然而，我发现它的性能似乎与咸菜不相上下。

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df = pd.DataFrame(np.random.randn(10000, 100))

>>> %timeit df.to_pickle('test.p')
10 loops, best of 3: 22.4 ms per loop

>>> %timeit df.to_msgpack('test.msg')
10 loops, best of 3: 36.4 ms per loop

>>> %timeit pd.read_pickle('test.p')
100 loops, best of 3: 10.5 ms per loop

>>> %timeit pd.read_msgpack('test.msg')
10 loops, best of 3: 24.6 ms per loop

问题：除了泡菜的潜在安全问题，msgpack对pickle有什么好处？ pickle仍然是序列化数据的首选方法，还是目前存在更好的替代方案？