With the first Gaia Data Release by the end of summer 2016 astronomers will face the challenge of data intensive science. The custom workflow of downloading whole catalogs and running the data through a local pipeline will change due to the sheer amount of data: downloading several TB of data will take at best several hours, in average days and also processing the data with local pipelines will be time and resource consuming. To solve these bottleneck problems, astronomers should be enabled to select only that subset of the data, they are actually interested in. The concept is: instead of bringing the data to the code, bring (parts of) the code to the data. For this, the Virtual Observatory developed the Table Access Protocol (TAP) that uses the Astronomical Data Query Language (ADQL) to bring code to the data and select subsets. In this talk I will present how to remotely explore catalogs and select a subset of the data TOPCATs TAP interface. In particular I will demonstrate how to perform crossmatches between subsets of the Gaia modelled catalog published via the ESA archive with surveys like 2MASS and SDSS.