You could write something like:
INSERT INTO tablename (ID, columnA) VALUES
(1, 'A'), (2, 'B'), (3, 'C'), (4, 'D');
Thereby reducing the number of client to/from server communication with 75%.
All the records would be inserted or none. Let's say that the ID 1 was already taken, you'd get a PK violation error and nothing would have been inserted into the table, not even (2, 'B') even if that tuple would have been allowed.
You could write something like
INSERT INTO tablename (ID, column) VALUES
(:hv_id_1, :hv_ca_1), (:hv_id_2, :hv_ca_2), (:hv_id_3, :hv_ca_3), (:hv_id_4, :hv_ca_4);
with hv_... the host variables, and that for every possible amount of records you could submit in one transaction by your application. This would lead to a chain of
if nbr_of recs == 1 then
INSERT INTO tablename (ID, column) VALUES
(:hv_id_1, :hv_ca_1)
else if nbr_of recs == 2 then
INSERT INTO tablename (ID, column) VALUES
(:hv_id_1, :hv_ca_1), (:hv_id_2, :hv_ca_2);
....
It looks ugly.
I always design normalised tables and shy from "clever hacks" in my programs. Only when tests show (serious) performance problems will I try denormalisation and clever hacks. Most of the time (and I mean 99.9% of the time) you can solve initial problems in a more elegant way. Denormalisation and clever hacks always come at a price.