I really like the concept of Domo. They have ETL, modeling, a warehouse and BI in one app ("data-stack-in-a-box"). I've interviewed 20 of their customers and the general sentiment was pretty bad. There's a long sales process, a longer process to get it set it up, and they've built all the modeling and connectors themselves (vendor lock in, none are best-in-class).
Definite (https://www.definite.app/) is a data-stack-in-a-box. We have a built-in modeling layer for core metrics and an AI assistant to answer any one-off questions.
A few ways we're different:
Built on open source - We run the data stack for you and give you a single app to manage and analyze your data, but it's all built on open source standards. So if you decide at any point you want to run it all yourself, the code is yours to lift and shift to your own infrastructure.
Battle tested connectors - We're using Meltano / Singer (open source library from Stitch) for our connectors, so they've been used heavily in production for years.
Self-serve that actually works - A lot of tools promise self-serve, but AI is making this real. We've invested heavily in making it possible to ask questions and get accurate answers. The AI queries a modeled view of your data that can answer questions that depend on well defined metrics (e.g. ARR, DAU, etc.).