[dataloopio]

DalmatinerDB, InfluxDB, Prometheus and Graphite each claim their numbers based on similar benchmark methods. The results range from 500k/sec to a couple of million metrics /sec. Druid comparatively, for the same benchmark would be closer to 30k/sec. If that's factually wrong please post some details and we can update the spreadsheet.

Expanding the benchmark to cover cardinality and other aspects would indeed be comparing apples to oranges.

In terms of benchmarking DalmatinerDB with billions of unique combinations indexed in Postgres.. I think we know what will happen there :) That's what it's designed for. We can also shard in the query engine, or use any of the multi master Postgres options, but I doubt that would even be necessary.

[fangjin]

The databases listed above, to the best of my knowledge, are commonly used for dev ops metrics data and share similar terminology. Druid on the other hand, draws much of its terminology from the OLAP world. As cheddar clarified in his post above, the benchmarks for Druid are misleading as it is not an apples to apples comparison (I suspect the benchmarks for ES also suffer from this problem). A single Druid event may consist of thousands of metrics.