The concept of a database built for time-series data specifically is in vogue lately (if you couldn't tell). Most of the TSDBs in the spreadsheet above, for instance, are NoSQL data stores designed for high ingest.
Full disclosure, we're also developing a new time-series database (http://www.timescaledb.com/) because we found the ones above achieved ingest scale by sacrificing query performance (and SQL). We needed something that had good ingest/query performance at scale (and we wanted to use pure SQL).
Facebook also recently open-sourced their internal TSDB, Gorilla (http://www.vldb.org/pvldb/vol8/p1816-teller.pdf), as Berengei.
The concept of a database built for time-series data specifically is in vogue lately (if you couldn't tell). Most of the TSDBs in the spreadsheet above, for instance, are NoSQL data stores designed for high ingest.
Full disclosure, we're also developing a new time-series database (http://www.timescaledb.com/) because we found the ones above achieved ingest scale by sacrificing query performance (and SQL). We needed something that had good ingest/query performance at scale (and we wanted to use pure SQL).
If you're curious, here's our technical paper: http://www.timescaledb.com/papers/timescaledb.pdf.