Supporting the strong demand in data storage, computation and interactive performances required by visual analytics applications is still a challenge. All currently existing visual analytics applications need to build their own specialised infrastructure for their specific problem. One of the most difficult issues of visual analytics is that it is both user driven and data-driven. It is user-driven because during the interactive steps of the analysis, the user is specifying algorithms and parameters to explore the data. It is also data-driven because new data is made available to the user at unpredictable times, such as when algorithms run or databases are updated. This chapter describes the landscape of software and hardware solutions to address this difficult issues.