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

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/ https://clickhouse.tech/ [2] https://victoriametrics.com/ https://victoriametrics.com/ [3] https://valyala.medium.com/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282 https://valyala.medium.com/how-victoriametrics-makes-instant...