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Nowadays, more and more data are created every day. To process time-series data in real time, many organizations are looking beyond the traditional data warehouse solutions and into emerging big-data technologies such as open source Map-Reduce frameworks or no-SQL databases. In this project, we develop an application which follows a keyword over multiple social media platforms (e.g. Twitter, Facebook), maintaining the aggregated data in a no-SQL database. Afterwards, in order to choose the most suitable system for our application, we will analyze the no_SQL database systems, define their architecture and data model, and depending on our needs, choose the appropriate one.