Because it's unnecessary to those 99% of companies. If company data fits in an Excel spreadsheet, Access database, or a single MySQL/Postgres instance, then introducing all this new tech with all of the associated costs and little return gain is a net loss.
Some of this new tech is simpler to run than MySQL/Postgres like S3/Spectrum. Excel is ok for last mile type of analytics but it doesn't work if you are looking for serious insights. Excel also generates a significant amount of unnecessary manual work and data quality issues. It's not so black and white, what I am saying is that the analytics tech industry direction doesn't seem to address the real issues.
Sure. It's possible to create something that is both good for small data and has a better feature set than Excel/Access/etc., but then you do not have the other main asset of those databases: popularity. It's relatively very easy to find people skilled in these technologies, whereas new technologies need to come either with advocates capable of teaching others on their own or programmers already skilled with them. Otherwise, teaching people new technical skills is costly.
Because it's unnecessary to those 99% of companies. If company data fits in an Excel spreadsheet, Access database, or a single MySQL/Postgres instance, then introducing all this new tech with all of the associated costs and little return gain is a net loss.