The tests were run on the same hardware, a single server. Bare metal, not VMs. InfluxDB writes the series string with everything. We tried to imitate what you'd need to do to get close to similar functionality doing time series like InfluxDB does in Cassandra.

If you're just going to write a bunch of uint64 keys with float64 values, of course Cassandra will get much faster. It would be trivial to make a time series database that outperforms InfluxDB with those limitations as well.

The point of the comparison is that InfluxDB gives you a ton of functionality out of the box and has great performance.

Again, the point is that if you want to do time series on Cassandra, you're going to write a bunch of the code yourself.