I'm designing a small Flask Google App web-application/dashboard which will show some evolution patterns of climate data at global level.
The observations were made at approx 1.5 million sites. Each site has approx 50 observations. Hence, the dataset consists around 1.5 million time series with in total 75 million rows. Unfortunately we don't have a large budget for this app. However, we don't expect that many users (few per day). Nevertheless query latency should be kept as low as possible. What would be the optimal data storage service considering both query latency and costs? Should I just use Cloud Bigtable? Or maybe Cloud SQL? -- You received this message because you are subscribed to the Google Groups "Google App Engine" group. To unsubscribe from this group and stop receiving emails from it, send an email to google-appengine+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/google-appengine/f9e22185-830a-42c2-a943-63f048116180o%40googlegroups.com.
