| Sorry for having to say the "cliche" answer "It depends"...But it really "depends" It depends on the requirements like
1. requirements for having a self host version or acceptance of having cloud offering
2. data connector requirements (not all products will have native connectors to all data sources)
3. data blending requirements (not all products will have data blending capabilities to the same tune)
4. data size requirements (some support data in MBs, some can support data in PB's)
5. Programming knowledge requirements (some may have only non technical users using the product, some may have technical users who need finer control)
6. Visualisation options
7. Various Reproting options (some may have pdf export option, while some others may not have this)
....and the list is really long There are a large number of parameters in deciding to choose a BI/Reporting solution One can probably pickup a particular requirement and evaluate the best in class for that requirement. There is no one solution which excels in every single field. Tableau has been the leader in the market for long. And the list of offerings is endless
From traditional Tableau, Looker, Sisense, Qlikview
to modern POwerBi, Domo, Tableau online, Data Studio, Bime analytics From open source solutions like redash.io, airbnb superset, pendaho, jasperreports to closed source solutions like crystal reports... From simple tools like cyfe , to extremely complex ones From generic solutions to industry specific solutions like Baremetrics (For stripe analysis), and my own ReportDash (for marketing reports) |