Thanks CynicalBee90 I appreciate the discussion! since I'm assuming you will actually amend the misrepresentation in your table, let me followup here.
1.

SPSS license may be a significant consideration for some, and so we thought it was important to point this out clearly.

SPSS is fully open-source compliant unless you have the intention of selling it as a service, I hardly think this is any users consideration, just like anyone would be using mongodb or elastic search without thinking twice, basically you should fix it green check mark
2. I'm with TrickySheep9 , seems like all solutions are as platform agnostic as possible, can't actually see any difference on any of the columns, how is DVC more agnostic than mlflow for example? I guess what you should have there is "programming language agnostic", in which case, I think the table holds.
3.

What we meant is where can I view it in a way that I can make sense of my data. We will probably rename it to something like “Simple accessible data”.

How is that different? Is storing json files better than API access and DB access ? I do not get it? what am I missing here? Are you saying that TB local files are somehow more readable than a DB with API? what's the value for a user?
Is it standalone server-less installation what you are actually after ?
4. pip install MLFlow will not give multiple users access, this is not apples-to-apples in terms of base-line requirements, i.e. more than a single user (basically single user could just use TB, not ideal but usable, it all breaks when you start collaborating).

Again, the thought is “Can I guarantee someone with no DevOps experience can use this tool?”

Well ClearML free SaaS offering solves that as well (as is the case for wandb or comet for that matter)
Basically all options are easy to setup, either they have pip install Or they offer free SaaS...
5. Well in the table I see two question marks not a green check mark, could you fix that ?

Thoughts ?