@Kibana, of course, because @Grafana looks like amateur sort of solution, crammed with query builder grouping aggregates, but in essence, as recommended by CERN - KIbana is the corporate (startup vectored) decision.

Furthermore, @Kibana comes with complexity adhering ELK stack, whereas @InfluxDB + @Grafana & co. recently have become sophisticated development conglomerate instead of advancing towards a understandable installation step by step inheritance.

For our Predictive Analytics platform, we have used both Grafana and Kibana

• Grafana based demo video: https://www.youtube.com/watch?v=tdTB2AcU4Sg
• Kibana based reporting screenshot: https://imgur.com/vuVvZKN

Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

• Creating and organizing visualization panels
• Templating the panels on dashboards for repetetive tasks
• Realtime monitoring, filtering of charts based on conditions and variables
• Export / Import in JSON format (that allows you to version and save your dashboard as part of git)