pyodbc vs ceODBC executemany performance

import time

import ceODBC
import pyodbc

dsn = "<insert your dsn here>"

data = 1000 * [(1, "testing", 5555.5555)]

def multi_insert(odbc):

    conn = odbc.connect(dsn)
    crs = conn.cursor()

    crs.execute("""
    CREATE TABLE ##test (
        field_int int,
        field_vc varchar(50),
        field_dec decimal(10, 5)
    )
    """)

    def test():
        start_time = time.time()
        crs.executemany("""
        INSERT INTO ##test (field_int, field_vc, field_dec) VALUES (?, ?, ?)
        """, data)
        end_time = time.time()
        return end_time - start_time

    times = []

    for x in range(3):
        times.append(test())

    conn.close()

    return times

print "ceODBC:", multi_insert(ceODBC)
print "pyodbc:", multi_insert(pyodbc)