I would say that broadly the ergonomics of the product are where it is most differentiated. Datadog's solution - feels very much like a datadog product - in that it's a giant dump of data you have to craft to tell a story. Not all pipelines are the same, their execution patterns are different and expectations for Pass/Fail/Cancel differ as well.
Tbh it looks the same as Datadog’s solution.
It's not just about the visuals - its about how the data can be sliced and diced. How your pull requests behave is a very different phenomenon than from how your main branch is behaving. You need to be able to tease this apart easily.
Can Datadog do this for $7/month? My understanding is that their pricing is quite a bit higher than that.
If you're already paying for Datadog the price probably isn't an issue for you though.