| > I can't find any other open source time series database except Mimir/Cortex which allows this much scale (clustering options in their open source version) The following open source time series databases also can scale horizontally to many nodes: - Thanos - https://github.com/thanos-io/thanos/ - M3 - https://github.com/m3db/m3 - Cluster version of VictoriaMetrics - https://docs.victoriametrics.com/Cluster-VictoriaMetrics.htm... (I'm CTO at VictoriaMetrics) > Can we use Prometheus/Mimir as general purpose time series database? This depends on what do you mean under "general purpose time series database". Prometheus/Mimir are optimized for storing (timestamp, value) series where timestamp is a unix timestamp in milliseconds and value is a floating-point number. Each series has a name and can have arbitrary set of additional (label=value) labels. Prometheus/Mimir aren't optimized for storing and processing series of other value types such as strings (aka logs) and complex datastructures (aka events and traces). So, if you need storing time series with floating-point values, then Prometheus/Mimir may be a good fit. Otherwise take a look at ClickHouse [1] - it can efficiently store and process time series with values of arbitrary types. [1] https://clickhouse.com/ |