I like the UI and UX of Databand.

It was very comfortable to use the Basic and User params, and get the output of each operator in a very clear way.

I enjoyed the way Databand integrated into Python. Review collected by and hosted on G2.com.

Sometimes the logs were not informative enough, especially if the failure is from the pod Kubernetes side.

I think it can be improved by integrating better with the logs that came from the pods and nodes. Review collected by and hosted on G2.com.

visibility of the experiments and their params and outputs is very good

very easy to filter through experiments and find the one you are looking for

also, the graph view is very nice and intuetive Review collected by and hosted on G2.com.

k8s errors are sometimes harder to detect but Databand team helps us make it better and better so it becomes less of an issue Review collected by and hosted on G2.com.

1. Nice admin control

2. Easy to implement

3. Cheaper price Review collected by and hosted on G2.com.

Difficult and little tricky to configure it on different OS systems. Review collected by and hosted on G2.com.

I like that I see all info on one screen,

and the graphs are very useful Review collected by and hosted on G2.com.

no colors in the log, for example, dates, error string, it hard to find the real issue msg.

by adding colors it would be easier to scan the log. Review collected by and hosted on G2.com.

the option to automate different pipelines Review collected by and hosted on G2.com.

sometimes the errors are not obvious and the errors are in some places Review collected by and hosted on G2.com.

I like the clear UI/UX it has, the simplicity of adding visualisation for your code run is amazing Review collected by and hosted on G2.com.

Sometimes it throws unclear errors. nothing major though Review collected by and hosted on G2.com.