Complex, computational work with huge sets of data is now common practice in fields such as genomics, economics, and astrophysics. Researchers in these and similarly data intensive fields depend on ...

Even with all of the advances in IT, whether it’s modular hardware, massive cloud computing resources, or small-form-factor edge devices, IT still has a scale problem. Not physically—it’s easy to add ...

Ultimately, every problem in the constantly evolving IT software stack becomes a database problem, which is why there are 418 different databases and datastores in the DB Engines rankings and there ...