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NoSQL databases emerged to fill limitations of the relational databa- ses. The many options for each one of the categories, and their distinct cha- racteristics and focus makes this assessment very difficult for decision makers. Most of the time, decisions are taken without the attention and background de- served due to the related complexities. This article aims to compare the rele- vant characteristics of each database, abstracting the information that bases the market marketing of them. We concluded that although the databases are la- beled in a specific category, there is a significant disparity in the functionalities offered by each of them. Also, we observed that new databases are emerging even though there are well-established databases in each one of the categories studied. Finally, it is very challenging to suggest the best database for each category because each scenario has its requirements, which requires a careful analysis where our work can help to simplify this kind of decision.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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