In an earlier blog post, I discussed some architectural options in deploying a big data environment, including cloud vs. on-premises, and dedicated vs. shared infrastructure. In this post, I'll examine topics that may be even more divisive: open vs. proprietary software and commodity vs. purpose-built hardware. These choices seem to reflect personal philosophies as much as technological differences.
Don’t think so? Try this: Quickly explain your justifications for sending your children to public school or private school. Or consider your preferences between public transit or driving your own car. Do you pay for music versus streaming or downloading it for free? We have some opinions on these choices, don’t we? The same emotions seem to come into play when making decisions about the model of hardware or software used for big data.
You can read the full article on Network Computing's website.