If you want to store a large number of time series, influx might not be for you. For smaller bits of data (where the full dataset can fit on a single machine, or there is a very low amount of dimensionality in the data, influx is nice.
However, if the data grows beyond what a single scaled up machine can achieve, take a look at druid (druid.io). It is a bit more involved in setting up than influx, but was built from the very beginning to scale out horizontally. As a result, I can do realtime analysis (using grafana) of over 10 billion data points and perform aggregations over said data. It is an incredibly useful tool, and the newly released 0.9 looks ever better.
It is really impressive tech. Bonus points that some of the original founders of Druid from Metamarkets just founded a company to do enterprise support around it:
However, if the data grows beyond what a single scaled up machine can achieve, take a look at druid (druid.io). It is a bit more involved in setting up than influx, but was built from the very beginning to scale out horizontally. As a result, I can do realtime analysis (using grafana) of over 10 billion data points and perform aggregations over said data. It is an incredibly useful tool, and the newly released 0.9 looks ever better.
It can also count Alibaby, eBay, Cisco, Paypal, Yahoo, and Netflix as users (amongst many others): http://druid.io/druid-powered.html
It is really impressive tech. Bonus points that some of the original founders of Druid from Metamarkets just founded a company to do enterprise support around it:
http://imply.io/post/2015/10/19/announcing-imply.html