|Imagine you load a file that has 3 sets of timeseries data: attributeA, attributeB and attributeC. Each timseries is of the form
Array<time, float>. There will be between 1000 and 15,000 time/value pairs in each series, so maybe 8Kb to 120Kb in each series.
I will never query the data in the array. I will only ever return it as a chunk of data (meaning I could compress it into a BLOB for higher storage efficiency at a tradeoff in load speed if I needed to)
A classic database such as MySQL or SQL Server seems massive overkill for this.