The ScyllaDB one is a bit funny anyway as it doesn't really target analytical workloads. On SSE/GPUs - the ClickHouse guys don't use GPUs today (GPUs are on the roadmap for next year) as their workloads target volumes…
To add to pritambaral comments. The top commercial high performance timeseries databases, which ClickHouse can usually best, used by banks to make decisions on your money also don't use fsync. You can literally quit the…
But they didn't set the temperature reading to anything that would advantage their tests. Without access to the original data they simply generated a dataset as close to the original dataset and volume as possible. The…
I've worked with MPP DBs, Hadoop, Spark, ElasticSearch, Druid, kdb, DolphinDB and now ClickHouse and performance wise it's all true - in our case ClickHouse was 10-20x faster than Spark and used 4x less memory. I've…
The ScyllaDB one is a bit funny anyway as it doesn't really target analytical workloads. On SSE/GPUs - the ClickHouse guys don't use GPUs today (GPUs are on the roadmap for next year) as their workloads target volumes…
To add to pritambaral comments. The top commercial high performance timeseries databases, which ClickHouse can usually best, used by banks to make decisions on your money also don't use fsync. You can literally quit the…
But they didn't set the temperature reading to anything that would advantage their tests. Without access to the original data they simply generated a dataset as close to the original dataset and volume as possible. The…
I've worked with MPP DBs, Hadoop, Spark, ElasticSearch, Druid, kdb, DolphinDB and now ClickHouse and performance wise it's all true - in our case ClickHouse was 10-20x faster than Spark and used 4x less memory. I've…