The great thing about AWS and other cloud platforms is that you can put the data in e.g. S3, then use the tool of choice for your workloads. I'm assuming that

The great thing about AWS and other cloud platforms is that you can put the data in e.g. S3, then use the tool of choice for your workloads. I'm assuming that MemSQL works fine with that sort of configuration, rather than requiring you to lock your data up in some proprietary format. Also, unlike the bad old days of on-premise platforms, you can try things out to see how they work. You could even do that with a public dataset first, to see how it works (see https://registry.opendata.aws/ https://registry.opendata.aws/ for a list of these). For example, there is an Amazon Customer Review dataset of over 160 million customer reviews - you could use that and try MemSQL for various use cases, then look at alternatives. Disclaimer - clearly as a Kognitio employee I'd suggest you looked at us for analytics use cases, and you can see an example of sentiment analysis as scale using the Amazon Customer Review data set at https://kognitio.com/blog/sentiment-analysis-amazon-reviews-pt1/ https://kognitio.com/blog/sentiment-analysis-amazon-reviews-.... Also, a couple of articles on LinkedIn at https://www.linkedin.com/pulse/100-shades-grey-other-amazon-review-discoveries-mark-chopping/ https://www.linkedin.com/pulse/100-shades-grey-other-amazon-... for another piece of work on that same data, and https://www.linkedin.com/pulse/media-brexit-story-so-far-may-corbyn-less-shambles-than-mark-chopping/ https://www.linkedin.com/pulse/media-brexit-story-so-far-may... for a view on Global Media coverage of Brexit over time.