  With the overwhelming amount of complex and heterogeneous data pouring from
any-where, any-time, and any-device, there is undeniably an era of Big Data.
The emergence of the Big Data as a disruptive technology for next generation of
intelligent systems, has brought many issues of how to extract and make use of
the knowledge obtained from the data within short times, limited budget and
under high rates of data generation. Companies are recognizing that big data
can be used to make more accurate predictions, and can be used to enhance the
business with the help of appropriate association rule mining algorithm. To
help these organizations, with which software and algorithm is more appropriate
for them depending on their dataset, we compared the most famous three
MapReduce based software Hadoop, Spark, Flink on two widely used algorithms
Apriori and Fp-Growth on different scales of dataset.
