[pauldix]

Those two systems are designed to work with Prometheus style metrics, which are very specific. You have metrics, labels, float values, and millisecond epochs.

I'm not totally sure how they index things, but I would guess that it's by time series with an inverted index style mapping for the metric and label data to underlying time series. This means they'll have the same problems with working with high cardinality data that I outlined in the blog post.

InfluxDB aims to hit a broader audience over just metrics. We think the table model is great, particularly for event time series, which we want to be best in class for. A columnar database is better suited for analytics queries, and given the right structure is every bit as good for metrics queries.