Visual SQL, a proprietary language that allows anyone to query data without knowing how to code in SQL.The biggest, most complex companies, like New York Shipping Exchange (NYSHEX), find it “super easy to deploy” and assert that “the users get immediate value out of it.” At the same time, the scrappiest of startups, like a student-run content curation startup, can afford it and use it to improve their product. Who is Chartio for?Ĭhartio is for any company that needs an affordable yet powerful business intelligence tool that anyone can use. What sets it apart from the pack is how affordable it is and how easy it is to set up and use, even for people with no coding experience. Here is the top-rated post of all time in that community:Ĭhartio (Hey there! 👋) is a business intelligence tool focused on making data accessible to anyone. It also has some quirks that’ll cost you time, as the good people of Reddit are quick to point out in r/PowerBI.says, “This is not an application for amateurs.” “You need to work with an IT person to interface Power BI with existing systems,” says Shreshthi Mehta in her TrustRadius review. Power BI has a steep learning curve, and it requires expert knowledge to set up.In their comparison between Power BI and Tableau, user Grovbolle on Reddit says, “Power BI is very strong on the data modeling and infrastructure, a bit less on visualization.” Users of Power BI tend to praise its ability to handle the flow of data as well as its modeling capabilities.As Alainia Conrad of SelectHub says, “Users with experience in will be able to adapt to. If you’re fully fluent in Excel, you won’t have to work too hard to understand Power BI.It’s powerful but takes some getting used to. DAX (Data Analysis Expressions), Power BI’s proprietary language for modeling data.Seamless integration with other Microsoft products.The result is good modeling functionality that, again, requires some expertise to set up and utilize. One user on Quora used this comparison: Tableau is like iOS, while Power BI is like Android.
Once set up, it has a reputation for being more malleable than other massive business intelligence tools. It’s not the easiest business intelligence tool to set up and maintain, so teams with little capacity to spare may want to look elsewhere.
#METABASE VS TABLEAU FULL#
Power BI is great for larger companies full of spreadsheet junkies that are already heavily invested in Microsoft’s ecosystem.
#METABASE VS TABLEAU PLUS#
While these integrations are a plus for many, Power BI has proven to be difficult for some to learn-and it has some unique quirks. The drag-drop experience of elements in dashboard view can be better.Microsoft’s Power BI is a business intelligence tool whose main differentiator is the fact that it sits within the larger Microsoft ecosystem, integrating with Excel, Azure, Access, and more.This restricts its use to only technically sound users i.e. Lower support of MongoDB, variables missing in simple questions.Can't blend data coming from different data sources. MEDIAN function instead one has to use percentile function that too is supported with few DBs. Even though it is designed to write and to execute many of the descriptive statistics as well but it doesn't have SQL function for these descriptive statistics for e.g.Auto-completion is irrelevant, I need to create queries outside metabase.It came super handy to check live stats with the whole organization and empower non-data folks. It is super easy to share with team members both on queries and also findings in real-time.Very customizable and powerful for dealing with large data sets.Bugs are getting fixed quickly, a lot of updates with new functionality. Functionality is very powerful, supports almost all data sources you would like to connect to it.Creating queries is much faster than any other comparable tool.It has a great UX and is very straightforward to use, and advanced users can easily drop into SQL if needed.
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