[lumost]

The big hype was always due to the ability to shed large oracle based data warehouses. When Hadoop was full of hype in 2010 Oracle was charging 150k/cpu core/year for a rac cluster license.

Considering that oracle is not in fact magic, this meant that a large number of firms were spending 7-8 figures annually on oracle licenses. Map reduce/Hadoop was the first accepted alternative that didn’t involve spending outrageous license fees and instead involved outrageous hardware expenditure.

[exikyut]

Enlightenment moment.

Con: OSS is less optimized than proprietary solution, requiring bigger hardware

Pro: OSS allows you to buy bigger hardware, use all of it without logical restrictions, and scale infinitely beyond the arbitrary point you were locked into with licensing.

And then the new-found efficiency frees up time to discover/identify $(x,)xxx,xxx+ in manual work that can also now be done with your new-found compute...

Wow. Way to prevent us from progressing beyond the industrial revolution.

($catchup_speed++)

[rytis]

And there's also an added cost of engineers supporting all that hardware and the Hadoop components running on it.