I don't think superset is "enterprise ready". It is an extraordinarily powerful tool, but it's sitting in a niche. Allow me to offer some criticisms from our experience.
The setup process for SuperSet involves a 100 fragile tiny OS components, so the only viable object is the docker image and the security risks associated with giving an image unfettered access to your data in an environment where updating CVEs for individual components will break the application.
Then once you have it installed, the setup process with your datamodel is also time consuming. If you make it past that, the UI has a steep learning curve that will turn away non-technical users.
Compare that to the likes of Metabase. Download the jar. Download a JVM. Start it with java -jar metabase.jar Point it at your database. It automatically goes and creates a data dictionary for you. It's smart enough to figure out which fields are relevant. It comes with a built in data browser. It has a WYSIWYG query editor. It allows for instant sharing of questions and dashboards. It has fallback to questions written in SQL.
I really hope they can improve on all of these things, but it's a complex project with a very large codebase.
They all have their strengths and weaknesses. Having used all three, I’d start with Metabase. It’s super easy to setup and I’d argue it has the most intuitive interface for non-technical end users.
The setup process for SuperSet involves a 100 fragile tiny OS components, so the only viable object is the docker image and the security risks associated with giving an image unfettered access to your data in an environment where updating CVEs for individual components will break the application.
Then once you have it installed, the setup process with your datamodel is also time consuming. If you make it past that, the UI has a steep learning curve that will turn away non-technical users.
Compare that to the likes of Metabase. Download the jar. Download a JVM. Start it with java -jar metabase.jar Point it at your database. It automatically goes and creates a data dictionary for you. It's smart enough to figure out which fields are relevant. It comes with a built in data browser. It has a WYSIWYG query editor. It allows for instant sharing of questions and dashboards. It has fallback to questions written in SQL.
I really hope they can improve on all of these things, but it's a complex project with a very large codebase.