• Ajay Kumar
• Dr. Aman Kumar Sharma

Abstract: With the advancement of technology, huge amount of real–time data has been generated referred to as big data. Cloud users produce large amount of data every day, big data has become one of the major research areas for handling such real time data. To process and analyse this vast amount of data, there many powerful frameworks like Hadoop Spark and Flink, which are mainly used in the context of big data. To find out, which framework is best according to processing and analysis is the main challenging task in Big data. This paper discusses comparison on Apache Hadoop, Apache Spark and Apache Flink.

Keywords: Apache Spark, Big data, Hadoop, HDFS, MapReduce Apache Flink.

"An Empirical Comparison of Big Data Frameworks in Data Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.544-547, January-2021, Available :http://www.jetir.org/papers/JETIR2101279.pdf

"An Empirical Comparison of Big Data Frameworks in Data Retrieval", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp544-547, January-2021, Available at : http://www.jetir.org/papers/JETIR2101279.pdf