comparing timescaledb vs InfluxDB vs redis

I'm looking into building some low latency real time application (<100ms) based on time series data. I'm comparing timescaledb vs InfluxDB vs Redis. I'm comparing them using https://db-engines.com/en/

From a lot of blog posts, I found that TimescaleDB had better performance than InfluxDB, but I found InfluxDB having in memory capabilities (while TimescaleDB does not). Then I wonder if by utilizing such in memory capabilities, would influx db perform better on timescaledb during live production.

Some industry expert mentioned Redis for such application. But it seems it is not really a database.

In summary my question is,

1, is TimescaleDB really not having in memory capabilities?

2, if I trigger in memory capabilities in InfluxDB, would the production level performance be probably better than TimescaleDB?

3, Is Redis a timeseries database, offering similar capabilities of TimescaleDB or InfluxDB?

No implementation file, test, or entry point is identified; the issue is an unanswered comparison question about TimescaleDB, InfluxDB, and Redis. Start by checking the project documentation for supported storage and performance behavior, then determine whether the questions can be answered from existing documentation rather than through a code change.