One of the founders here. Thanks to the community for all the support and encouragement. We couldn't have gotten this far without people getting excited about our software. 2015 is going to be a great year for open source time series databases!
Oh that's great news! I've been using Influx for about a year know and I'm really happy with it already. Hopefully the upcoming version 0.9 with BoltDB will even better than the current storage engines.
I'm also contributing to one of the drivers and most of the time it has been fun using it.<p>@Paul, are you still going to release a preview of 0.9 in december or is it delayed to celebrate the news? ;)
Been flowing InfluxDB for sometime now and used it to do some analytics work few times. Loved it and will use again every chance i get. Also plus points for being written in clean idiomatic Go.
InfluxDB is one of our favorite database (we host and run open source DBs ...). Most people can get more from their data by recognizing time series problems, and it's nice to have an easily accessible DB to put that sort of information into.
Great news for them. I built a dashboard a few months ago using graphs which pull data from InfluxDB and I had a lot of fun with it. To me, it seem a whole lot easier to use than Graphite.
I still don't completely grasp what this is. Is it actually a database application that is specifically built to scale-out (shard) time series data?
Already been done in 2001-2004: Sensage (<a href="http://www.sensage.com/" rel="nofollow">http://www.sensage.com/</a>, <a href="http://en.wikipedia.org/wiki/Sensage" rel="nofollow">http://en.wikipedia.org/wiki/Sensage</a>), followed by Vertica, etc. All the columnar-storage big-table timestamped data collectors and data aggregators. Sensage failed at the market. Splunk succeeded, perhaps with a different underlying data storage model, but certainly with great marketing.<p>What's different about InfluxDB?