[valyala]

There is more mature ClickHouse database [1]. This is column-based OLAP database, which provides outstanding query performance (it can scan billions of rows per second per CPU core) and outstanding on-disk data compression (up to 100x if proper table configs are used). ClickHouse also scales horizontally to multiple nodes. Comparing to QuestDB, ClickHouse consistently shows high performance on a wide range of query types from production. It also provides many SQL extensions optimized for analytical workloads.

BTW, VictoriaMetrics [2] is a time series database built on top of ClickHouse architecture ideas [3], so it inherits high performance and scalability from ClickHouse, while providing simpler configuration and operation for typical production time series workloads.

[1] https://clickhouse.tech/

[2] https://victoriametrics.com/

[3] https://valyala.medium.com/how-victoriametrics-makes-instant...

[tonyhb]

Please stop shilling "victoria metrics" in every one of your posts.