For Prometheus's long-term storage I'd basically like to have something like InfluxDB (Go, simple to operate, distributed storage), but better suited towards purely numeric time series rather than arbitrary log records. Unfortunately as it stands, InfluxDB takes roughly 14x more disk space for exactly the same data (without replication) for a typical Prometheus use case. I hope that improves in the future, but InfluxDB's use case is also different: they enable you to store arbitrary key=value metadata with every single record, rather than defining a time series once and then only appending numeric samples. So the comparison is not really fair, it's just maybe not the right tool for Prometheus-style monitoring.
For Prometheus's long-term storage I'd basically like to have something like InfluxDB (Go, simple to operate, distributed storage), but better suited towards purely numeric time series rather than arbitrary log records. Unfortunately as it stands, InfluxDB takes roughly 14x more disk space for exactly the same data (without replication) for a typical Prometheus use case. I hope that improves in the future, but InfluxDB's use case is also different: they enable you to store arbitrary key=value metadata with every single record, rather than defining a time series once and then only appending numeric samples. So the comparison is not really fair, it's just maybe not the right tool for Prometheus-style monitoring.