Abstract Design/methodology/approach– This paper delivers solutions in the cloud for compressing, storing, analyzing, and processing big data. Hence, articles are divided into four categories: articles on big data storage, articles on big data processing, articles on analyzing, and articles on data compression in cloud computing. This article is based on a systematic literature review. Also, it is based on a review of 20 published papers on big data. Purpose– Big data has posed problems for businesses, the Information Technology (IT) sector, and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data are two significant past-years problems that allow high-efficiency and competitive computing tools to be delivered as IT services. The paper aims to examine the role of the cloud as a tool to handle big data in various aspects to help businesses. Findings– From the results, it can be inferred that cloud computing technology has features that can be useful for big data management. Using cloud computing for managing an enterprise’s big data influences how big data is collected, makes it available, scalable, and productive, and improves performance. Challenging issues are raised in each section. For example, in storing big data, privacy and security issues are challenging. Research limitations/implications– There are limitations to this systematic review. The first limitation is that only English articles were reviewed. Also, articles that matched the keywords were used. Finally, in this review, authoritative articles were reviewed, and slides and tutorials were avoided. Practical implications– The research presents new insight into the business value of cloud computing in inter-firm collaborations. Originality/value– Previous research has often examined other aspects of big data in the cloud. This article takes a novel approach to the subject. It allows big data researchers to comprehend the various aspects of big data management in the cloud. In addition, setting an agenda for future research saves time and effort for readers searching for topics within big data

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