Elasticsearch might seem like a strange option at first since it's historically a text search engine, but it's main datastructure is a compressed bit array which is ideal for OLAP processing.
I work at Datadog - we're only using ElasticSearch for full-text structured events, not time-series, which represent 10,000 - 100,000 times more data in volume.
We had to build our own Time-Series streaming / storage / query so we could handle millions of points per second and years of retention.
We had to build our own Time-Series streaming / storage / query so we could handle millions of points per second and years of retention.
(we love ElasticSearch, though)