  ESA Gaia mission is producing the more accurate source catalogue in astronomy
up to now. That represents a challenge on the archiving area to make accessible
this information to the astronomers in an efficient way. Also, new astronomical
missions have reinforced the change on the development of archives. Archives,
as simple applications to access the data are being evolving into complex data
center structures where computing power services are available for users and
data mining tools are integrated into the server side. In the case of astronomy
science that involves the use of big catalogues, as in Gaia (or Euclid to
come), the common ways to work on the data need to be changed to a new paradigm
"move code close to the data", what implies that data mining functionalities
are becoming a must to allow the science exploitation. To enable these
capabilities, a TAP+ interface, crossmatch capabilities, full catalogue
histograms, serialisation of intermediate results in cloud resources like
VOSpace, etc have been implemented for the Gaia DR1, to enable the exploitation
of these science resources by the community without the bottlenecks on the
connection bandwidth. We present the architecture, infrastructure and tools
already available in the Gaia Archive Data Release 1
(http://archives.esac.esa.int/gaia/) and we describe capabilities and
infrastructure.
