Between the three, which BI tool do you prefer and why?
Which BI tools are in demand in 2025? Planning to learn dbt → Power BI — need advice on the best niche and next steps
The Most In-Depth Comparison of BI Tools (follow-up post)
• View the dashboard: https://datastudio.google.com/reporting/03b3aed8-42e1-4423-bea9-e37b8e4e0f86
• View the source file and contribute: https://docs.google.com/spreadsheets/d/1zx6fgkiircU-p9ghbc_ssjbboJXynvCN_peFPVXVmCY/edit?usp=sharing
Best Enterprise BI Team and Tool Stack? : BusinessIntelligence
What key features should I prioritize when choosing a BI tool?
How does a structured requirements-gathering process benefit BI tool selection?
What common challenges should I expect when implementing a BI tool?
Videos
I know that the two most popular BI softwares are PowerBI and Tableau. However, there is a monthly fee for both of them and I am not in the financial position to subscribe to either of them. I have a Mac laptop so I won't be able to download PowerBI. I know that there is Tableau Public but there are restrictions to it so the experience won't be the same with the regular Tableau. As a result, I am looking into three other BI tools : Apache Superset, Metabase and Lightdash.
I'm aiming to build a career in Business Intelligence. Given how competitive the job market is right now, I’ve decided to learn dbt and Power BI to strengthen my profile and understand the modern data stack better.
I come from a non-technical background with a gap after graduation, but I’ve started learning SQL and want to focus fully on the BI side of things—dashboards, reporting, insights, etc.
I'm curious to know:
How many BI tools are actively used in the current market?
Which BI tools are most valuable to learn in 2025?
What niche/role within BI makes sense for someone starting out like me and for professional career in future ?
Would love any advice from professionals already working in BI—your suggestions will help me shape a clear roadmap. Thank you!