![]() Tableau is going to struggle to bring new enterprise deals for companies lead by CIO's who don't get analytics.įor those that use both platforms the difference is significant. So learning PBI will provide more coverage in terms of career options. As power BI is seen as 'the same' to tableau in the eyes of CIO's and those who don't use data daily most organisations will default to the E5 enterprise agreement that provides PBI 'free' (absolutely not free but Microsoft don't give you a line item cost per platform so cost is hidden). The value of learning power BI is most organisations will transition away from tableau. Edit: also nothing is labeled as clearly in PBI as in TBLU.ġ00%. Power BI is by no means bad or terribly hard to learn, it’s just comparing it to Tableau’s learning curve is literally night and day. It’s more that the experience in learning Power BI required learning for me, while Tableau I literally just started using it day 1 and everything was very simple to use with no prior training(lots of experience in Excel/some in geckoboard/some in data studio/lots of R and SAS). It’s not a matter of what I struggled with really(nothing honestly). ![]() Tableau is actually super friendly in the latter. Well personally for me it wasn’t too bad but for tableau I honestly picked up like it was a feather while Power BI it took me a bit longer to dig out certain, even basic features, that are already present in Excel, like summarizing by row% in certain cases(DAX in this case), or to determine exactly what fields I can use in certain visualizations. Tableau's major disadvantage is that its data modelling capabilities are pretty limited, but when you're just looking for a viz layer to put over a Python/R output that doesn't really matter. In my experience, Tableau is the nicest tool to work with as a data scientist. Every year it devours a bigger and bigger chunk of the market. Companies love it because (aside from being MS stack) it's cheap, flexible, accessible to their Excel jockeys and great for low-code modelling. If you really wanted to pick the tool that you're most likely to encounter in the wild, it's Power BI. Plus execs love it, because it's interactive and familiar. They are a very quick and easy way to provide customers with a slick UX, which can make a huge difference to selling your solution. Doesn't matter which - all the major tools (Qlik, PBI, Tableau) are similar enough for the important skills to be mostly transferrable.Įnterprise BI tools are undervalued by data scientists. I hope to learn Tableau more thoroughly some day, but at the moment I'll continue to use the free version of Power BI.Īs others have said - choose one, learn it well. I do not doubt that Tableau is better and easier to use, but for me to learn how to use it, the pricing definitely sways my decision. I believe the free Power BI version is generally limited in sharing reports and dashboards and some API support.Īnd I believe the free Tableau version allows you to create reports from files (but not SQL DBs), and possibly some restriction on saving reports, like all saved reports are publicly available and can only pull local data files. It is worth noting that both do have a free option, but if you are looking at which one to use with the pro features when you decide you want to create and share a portfolio, this information becomes relevant. ![]() (There is no actual monthly option, but it ends up costing about $70/month.) Tableau has a 14 day trial. The pro version for Tableau is a year minimum at $840 annual. I think Pro is $10/month, and Premium is $20/month. And the pro version of Power BI is cheaper and offers a monthly rate.
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