From the post:
Hadoop, the Big Data processing and analytics framework, isn’t your average open source project.
“If you look at a lot of the open source software that’s been popular out of Apache and elsewhere, its sort of like an open source replacement for something you can already get elsewhere,” said Todd Lipcon, a senior software engineer at Cloudera. “I think Hadoop is kind of unique in that it’s the only option for doing this kind of analysis.”
Lipcon is right. Open Office is an open source office suite alternative to Microsoft Office. MySQL is an open source database alternative to Oracle. Hadoop is an open source Big Data framework alternative for …. Well, there is no alternative.
Now that Daytona has been released by MS along with Excel DataScope, it would be interesting to know how Todd Lipcon sees the ease of use issue?
Powerful technology (LaTeX anyone?) may far exceed the capabilities of (insert your favorite word processor) but if the difficulty of use factor is too high, poorer alternatives will occupy most of the field.
That may give people with the more powerful technology a righteous feeling, but I am not interested in feeling righteous.
I am interested in winning, which means having a powerful technology that can be used by a wide variety of users of varying skill levels.
Some will use it poorer or barely invoking its capabilities. Others will make good but unimaginative use of it. Still others will push the envelope in terms of what it can do. All are legitimate and all are valuable in their own way.