Data processing techniques are becoming more innovative as the amount of data grows. Here we are exploring such techniques to process Big data one is the traditional RDBMS approach and the other distributed approach. We came across certain advantages and disadvantages of both the approaches. RDBMS is a very highly used technology for data processing by various organisations and replacing it with new technology has a lot of challenges. Distributed processing is the need of the hour and technologies like hadoop, mapreduce etc ^[1]. are being used for processing Big Data. There is a debate on which technology to use for processing data and we have just explored some possible results measuring both the technologies.