Thanks for the heads up. As a current influx (and cassandra) user, I'm painfully aware of the limitations at "scale". Influx seems to be the best long term play, but still has some growing up to do.
Likewise, but it doesn't solve one of the things that Riak TS and other timeseries DB's appear to try to solve: querying your data across ranges without knowing the range ahead of time. Essentially you are performing rollups yourself (which requires internal knowledge about how to aggregate values) to not scan gazillions of records to get a month's worth of data. Among other solutions, I believe this is something KairosDB[1] specifically tackles.
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[ 2.4 ms ] story [ 37.4 ms ] threadOr can anyone recommend something lighter-weight than full-blown Kafka etc.?
https://influxdb.com
Riak is one of those systems, where it really does scale out linearly.
I can hurl more data at the system and have it go unavailable during a partition or lose updates when it heals?
1 - https://github.com/kairosdb/kairosdb