COVID-19 caused by SARS-CoV-2 is being global pandemic which the number of positive confirmed cases and deaths increase massively and rapidly. Big data is a technology can be used for analysing the trend pattern of coronavirus and prevent the spreading of it. Few countries already use big data as a strategy in managing the ongoing of COVID-19 pandemic. This research uses descriptive analytical research to describe the findings of previous research information with a simplified approach. The aim of this research is knowing how big data used for managing the outbreak of COVID-19 by detecting cases, predicting cases and tracking contact through the use of various data characteristics in some countries around the world. Several countries that have used big data to help manage COVID-19 pandemic are Taiwan, China, Korea, Australia. Taiwan uses credit card and geographic route for tracking the routes of tourists, China uses Baidu Maps Traffic Flow as local maps for knowing distribution of aircraft passenger who have potential high risk to get infected by COVID-19, Korea uses insurance data from Korean National Health Insurance Service for knowing the community with hypertension history who have protentional high risk to get infected by COVID-19 and Australia uses application COVIDSafe for handling the spreading by detecting ambient contact. The ongoing of COVID-19 pandemic in the world has caused the big data technology to be considered to be applied in a country so it hopes can reduce the negative impacts caused in several fields.