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Gaia is the next cornerstone mission of the European Space Agency, to be launched in October 2013. It will observe more than one billion objects in the entire sky, providing accurate measurements of the positions, distances, motions and physical characteristics of the observed sources. The final Gaia archive will consist of several terabytes. Data visualisation is deeply linked to the scientific process. Nonetheless, no adequate data visualization solutions exist today for interactively visualizing such amounts of data. Although it is already possible for a single user to interactively visualise 0.6TB of point source data at 7 frames/s, (Hassan et al. 2012), this requires extremely expensive GPU clusters - not the the kind of hardware available to most users of the Gaia archive. In CSI-VEGA we address enabling key technologies in a proof-of-concept visualization environment we have developed. These technologies include off-loading strategies for bringing Gaia and its combination with other data sets to the desktop, as well as human interface support and hardware acceleration provided by game programming engines. Another emerging aspect being considered is that of collaboration. Visually oriented frameworks provide an unmatched support for collaborative development of ideas. Technologies for multi-user marking or highlighting objects or regions, adding comments, web links and other meta-data, are currently used in social networks and widely adopted by the younger generations, those that will constitute the main fraction of the future users of the Gaia archive.