Elasticsearch, with a mapping that does not full text search indices disabled, and a relatively larger time, works very well for timeseries data. It does filter

Elasticsearch, with a mapping that does not full text search indices disabled, and a relatively larger time, works very well for timeseries data. It does filtering & metric and bucket aggregations crazy fast. And it's very easy to add a new node. Just run on spot instances. We push event per request, which might have 100-500 unique keys, 100 millions of records per day, and no solution we've tried comes at the easiness of Elastic. Try to replicate the freedom (no-schema, cardinality, adding a new node to cluster) of Elasticsearch with InfluxDB or others and you will hit cardinality problems real fast.