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I've been running it in production since 2017, at two jobs, the current one a big corporation.
Best general-purpose, database-backed dashboarding system out there. I would never pay for Tableau or PowerBI.
Same for Airflow.
> Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. I tried Superset a few years back, and maybe it's changed since then, but intuitive is about the last thing I'd use to describe it. Things which I could figure out in a few minutes on any other BI tool liter…
Open source Business intelligence platform made with Python - https://news.ycombinator.com/item?id=29368664 - Nov 2021 (49 comments)
Apache Superset 1.1 - https://news.ycombinator.com/item?id=27439939 - June 2021 (28 comments)
The Apache Software Foundation Announces Apache Superset as a Top-Level Project - https://news.ycombinator.com/item?id=25905277 - Jan 2021 (1 comment)
Apache Superset is an enterprise-ready business intelligence web application - https://news.ycombinator.com/item?id=21133931 - Oct 2019 (7 comments)
> Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. I tried Superset a few years back, and maybe it's changed since then, but intuitive is about the last thing I'd use to describe it. Things which I could figure out in a few minutes on any other BI tool liter…
I also found Superset unintuitive to use and setup as well. I settled on standing up Metabase because it was so simple to get started with trying it since it can be launched as a single jar. The business users loved it and so did I and administration with a Postgres backend instead of the internal h2 database was a breeze.
Has anyone tried both this and Metabase? I've used Metabase in a few projects and I find it very nice. This seems more powerful, perhaps? Is it worth it for BI on small datasets?
The reason we chose Metabase was that it had table joins, while Superset doesn't (unless it has added them since I used it). It also looks a bit sleeker. But I strongly prefer Superset; I found that with Metabase I had to turn a lot of things off to make it usable (Let me see "the_table" not "The Table"!), I was constantly annoyed at the opacity around models vs "questions", etc. and every time I wanted to change a question Metabase insisted on creating a new one instead. The real issue here was when we wanted to swap out the data source for a lot of questions but there was no clean way to do so without MB just creating new questions.
Also, Metabase doesn't have serialization unless you pay them AND you self-host, (if I'm self hosting then what exactly am I paying for?) and that's pretty annoying. https://www.metabase.com/docs/latest/installation-and-operat....
But it does let you join tables. Sometimes that's enough to make MB worth dealing with.
This looks like grafana, right? Why would I use this instead of grafana?
As such, closer to an open source replacement for PowerBI.
I love Superset. I've been running it in production since 2017, at two jobs, the current one a big corporation. Best general-purpose, database-backed dashboarding system out there. I would never pay for Tableau or PowerBI. Same for Airflow.
Earlier quoted context omitted.
I also found Superset unintuitive to use and setup as well. I settled on standing up Metabase because it was so simple to get started with trying it since it can be launched as a single jar. The business users loved it and so did I and administration with a Postgres backend instead of the internal h2 database was a breeze.
Metabase is great. It truly is a BI tool. Superset is more of a visualization platform, which works great if you have engineers building reports. Less good if you expect more junior analysts to be super productive.
So now that I picked Metabase, Superset is topping HN for no apparent reason. Why?