Reviewers mostly praise Metabase for being easy to set up, intuitive, and useful for both technical and non-technical teams. They say it helps people explore data, build dashboards, share insights across departments, and even embed analytics into products without relying heavily on SQL. Several also value the open-source, self-hosted setup. The main complaints are narrower but consistent: exporting and dashboard customization can be awkward, email and PDF exports have limits, and some users want better documentation, query transparency, KPI glossary support, and more native integrations.
Data transformation in Metabase? Wow! 🤩
Metabase
@tatyana_avlochinskaya Dreams do come true ;)
Flux
Great to see Metabase still going strong. I used it a couple years ago on a personal project and I liked it a lot.
Metabase
@gregdingle thanks for your support!
Very exciting launch. Been using Data Studio for a while, and I love how easy it makes it to build (sql/python transforms + library + remote sync) and correct (dependency graphs) a robust, intuitive data environment that other people can actually use and build from 🎉
Dependencies are my favorite! Being able to follow the data flow and know what the downstream impact to changes is super helpful!
Metabase
@vamsi_peri so many headaches avoided 😃
Metabase
Congrats on the launch! This is a big step forward in making data easier to work with and trust across teams
Metabase
@_roman 🤝
Data cleaning is actually the most challenging part of projects like this. We’re currently building an AI analytics project and are working on data cleaning.
Happycapy
This makes a lot of sense. Without a solid semantic layer, AI is basically guessing. Really like how you’re turning metrics into something reusable and trustworthy. Congrats!