28 billion data points in 50 gigabytes are not impressive for time series use. That's nearly 2 bytes per data point, many time series databases achieve 1 or less byte per data point.
It's not a point, it's an entire row of data with dozens of columns and JSON.
Even if the data took twice as much space, it's still worth it to have everything in a single data warehouse with easy joins and the full expressiveness of SQL.
Even if the data took twice as much space, it's still worth it to have everything in a single data warehouse with easy joins and the full expressiveness of SQL.