What is the difference between tf.group and tf.control_dependencies?

If you look at the graphdef, the c=tf.group(a, b) produces the same graph as

with tf.control_dependencies([a, b]):
    c = tf.no_op() 

There's no specific order in which ops will run, TensorFlow tries to execute operations as soon as it can (i.e. in parallel).