Time-Series Databases are powerful and interesting beasts. We are selecting a new one for our OpsStack Total Operations Platform, for use in all ...
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Might as well just use something like MemSQL and get a real distributed relational database with columnstore functionality. Works great with time-series or any other data warehouse needs with full SQL support, including joins (and fast in-memory rowstore tables for OLTP).
Yes, InfluxDB certainly needs an HA / distributed solution, but using non-TSDB like this means losing tagging, protocol support (UDP rules!), alerting options, data aggregation, dimensional / time analyses, and probably more like high cardinality, multi-tag indexing on large data sets - especially with some newer TSDBs really diving into stats functions for clustering, anomalies, etc. MemSQL looks interesting, a bit complex, MySQL wire-compat is nice. I'm pretty new to TSDBs, too, so probably missing stuff.
Influx does have a HA solution, but it's closed source and had associated license costs. We use it in our setup with a load balancer to front the HTTP endpoint and it works pretty well. Search for Influx Enterprise for details, all the docs are public.
Yes, they do have a new commercial HA system, though seems quite young and I think was created after another attempt, so still a ways to go, plus of course would prefer to see an open-source edition, even if had limited shards, size, etc. so lots of people could run it for real in real systems.
If you are interested in a fully open-source time-series database with clustering support build into it's core you might want to take a look at SiriDB, a time-series data we build from the ground up to be scalable on the fly, fast and robust.
The full project is available on GitHub