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The development of big data processing based on transportation today is facilitating human life and growth in transportation needs. Mobility data products as the innovation of the intelligent mobility system include for infrastructure developers, transport planners, and shared mobility services. The method of this research is descriptive comparative by using a set of secondary data from existing reviews by comparing between data collection, data fusion, and processing, information dissemination, and the impact of traveler information. The data analysis includes visual analysis, scalability, machine learning, fault tolerance, knowledge discovery, and open source tools. This study presents the comparisons of the mobility analytics service providers (Teralytics, Streetlytics, Spatiowl, Near) and the recommendation for developing countries such as Indonesia. The characteristic of the population in developed countries is different from the people of developing countries. This condition is a differentiator of the pattern of movements to be translated so that a relevant analysis is needed. Mobile Network Big Data (MNBD) will be extended in providing real-time geo-mapping references.