to_sql function takes forever to insert in oracle database
I am using pandas to do some analysis on a excel file, and once that analysis is complete, I want to insert the resultant dataframe into a database. The size of this dataframe is around 300,000 rows and 27 columns.
I am using `pd.to_sql` method to insert dataframe in the database. When I use a `MySQL` database, insertion in the database takes place around 60-90 seconds. However when I try to insert the same dataframe using the same function in an `oracle` database, the process takes around 2-3 hours to complete.

Relevant code can be found below:

```
data_frame.to_sql(name='RSA_DATA',  con=get_engine(), if_exists='append',
                          index=False, chunksize=config.CHUNK_SIZE)
```

I tried using different `chunk_size`s (from 50 to 3000), but the difference in time was only of the order of 10 minutes. 
Any solution to the above problem ?
