Healthcare domain is one of the most prominent research field with rapid technological advancement and increasing data day by day. In order to deal with large volumes of healthcare data Big Data Analytics which is needed which is an emerging approach in Healthcare domain. The size of databases increases rapidly every day but still not well explored to discover hidden knowledge. Diabetes, an incurable disease which occurs because of high blood sugar levels over a prolonged time period, requires early prediction to significantly reduce its severity. In the medical field, it is essential to predict diseases early to prevent them. Now-a-days Machine Learning (ML) community has been working on diabetes prediction and many researches have been done since decades for its prediction. Advanced machine learning techniques can be used to develop predictive models for medical data, such models could be very useful for physician to make the decision. In this work a survey on prediction models of Diabetes using Machine Learning Techniques over Big Data. Over the years, so many researches are conducted on diabetes prediction, some of them are investigated in this survey. This survey provides the definite outcomes of various researches conducted on diabetes disease and it will be helpful to researchers to work with new ideas with previous work guidance. In this paper, different diabetes disease prediction models using Big data and ML techniques are discussed in detail.