Time-series data: InfluxDB vs TimescaleDB vs ClickHouse for monitoring

we're building out an internal monitoring platform and dealing with a pretty significant volume of time-series data roughly 1 million data points per minute across various services and metrics. currently, we're evaluating our options for the backend. influxdb was an early contender, but we're a bit concerned about their licensing model changes for enterprise features down the line. timescaledb looks promising since it's built on postgres, which our team is very familiar with, but we're unsure if it can truly handle our scale without significant operational complexity. clickhouse is another option, offering impressive columnar analytics capabilities, but it's a whole new database to learn and operate. has anyone here built similar-scale monitoring systems? what were your experiences with these or other time-series databases? what were the operational costs and performance characteristics you observed in production?