InfluxDB is the real deal for time series!
Use Cases and Deployment Scope
Pros
- Scalability - InfluxDB scales so well and even lets you create a database cluster without needing a database administrator.
- Data Reduction - InfluxDB's primary use case is to allow the data to be input at any interval or speed regardless of the volume of data. The way this is later queried is by reducing the data based on the input data.
- Quick start - Unlike other monolithic time series database it can easiliy startup with just a few minutes of reading their documentation
- Cloud Native - This database engine is made to operate in Docker & cloud first!
Cons
- Small, but growing community - This database engine's community is much smaller than alternatives. This can make finding a DBA or support less easy, but not impossible.
- Documentation could be improved - The docs for getting started don't effectively lead first-time users to understand how the underlying systems are designed.
- Performance Analysis - There seems to be a lack of tools to give context to slow queries or other performance issues
- Out-of-the-box security - The out of the box security is designed to operate in an internal network and is limited.
Likelihood to Recommend
I would NOT recommend InfluxDB for any non-time-based data.

