Thanks for your thoughts Gregory! We're also in the process now of finding a good storage solution for time series data at my dayjob. We're not storing any ser

Thanks for your thoughts Gregory! We're also in the process now of finding a good storage solution for time series data at my dayjob. We're not storing any server metrics, but more personal user health data and related metrics. So we want the flexibility of being able to write new metrics on your personal timeline without altering a schema. Most reads would be querying single users timeline to fetch their data and deliver through APIs for rendering in clients. Also of course to do analysis on all users timelines, find correlations etc. but those queries are less frequent and not so time critical. I'm starting working on a prototype now with MongoDB. Other DBs that have come up has been InfluxDB, Riak TS, Amazon DynamoDB and probably some others I don't remember. Haven't actually thought that much about Postgres, but thanks for your links to your blog posts I will read up on how Postgres might work. Most other non-time series data would still be in our MySQL setup.