  The rapid growth of solar data is driving changes in the typical workflow and
algorithmic approach to solar data analysis. We present recently deployed tools
to aid this evolution and layout the path for future development. The majority
of space-based datasets including those from the multi-petabyte Solar Dynamics
Observatory and the Hinode and Interface Region Imaging Spectrograph (IRIS)
missions are made available to the community through a common API with support
in IDL (via SolarSoft), Python/SunPy and other emerging languages. Stellar
astronomers may find the IRIS data particularly useful for research into
stellar chromospheres and for interpreting UV spectra.
