Compare values of one column of dataframe in another dataframe

I have 2 dataframes. df1 is

   DATE
2020-05-20
2020-05-21

and df2 is

ID    NAME    DATE
1     abc     2020-05-20
2     bcd     2020-05-20
3     ggg     2020-05-25
4     jhg     2020-05-26

I want to compare the values of df1 with df2, for eg: taking first value of df1 i.e 2020-05-20 and find it in df2 and filter it and show output and subset the filtered rows.
My code is

for index,row in df1.iterrows():
    x = row['DATE']
    if x == df2['DATE']:
        print('Found')
        new = df2[df2['DATE'] == x]
        print(new)
    else:
        print('Not Found')

But I am getting the following error:

ValueError: The truth value of a series is ambigious. Use a.empty,a.bool(),a.item(),a.any()