Tableau vs. Power BI by Juan Manuel Perafan - GoDataFest 2022
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In this talk, we will compare the most widely used BI tools in the market from the perspective of a mature data organization. The focus of this talk WON’T be on flashy features nor superficial sales talk. We will compare both tools in terms of how well they fit in with DataOps best practices. How do they rank in terms of speed of delivery, governance, robustness, and analytical capabilities.
Tableau vs. Power BI by Juan Manuel Perafan - GoDataFest 2022
- 1. TABLEAU VS POWER BI The Ultimate BI Tool For Mature Data Teams
- 2. THE DEBATE YOU ARE TIRED OF HEARING! Existing Comparisons Outdated One-sided BI-centric Developer's perspective Mature Data Teams Robust over easy NOT BI-centric Governance in place Admin's perspective This Presentation No hacky approaches Only documented features No secondary tools or add-ons Assumes data maturity
- 4. DATA CLEANING CREATING DATASETS SQL-like formulas New columns only Basic transformations No DataOps :( Limited Uses M & DAX Creates columns & tables Most transformations No DataOps :( Confusing
- 5. DATAOPS Infrastructure as code Version Control Automated Testing Containers Orchestration CI/CD Monitoring Security Governance
- 7. DATA MODELLING One Big Table (OBT)
- 8. DATA MODELLING CREATING DATASETS Denormalized and normalized Blending, joins, relations Star schema Filter propagation is hard
- 9. ARCHITECTURE
- 11. Flexibility Cloud or on-prem Server > Online Multi-cloud Linux + Windows Cloud or on-prem* Service > Report Server Azure Only Windows Only Terraform Available, but unofficial Incomplete 1 contributor Available, but unofficial Mostly complete 5 contributors Access Multiple authentication stores License -> Site -> Group -> User -> Object Azure Active Directory or Microsoft account Licenses -> Roles ARCHITECTURE
- 13. Licenses € 70 dev per month € 35 or € 12 viewer per month € 8.40 or € 16.90 per dev month Free with Office 365 <= E5 Unlimited Capacity ??????? € 4.212,30 per capacity € 1 to € 32 per hour Power BI embedded Human Capital Less time spent in data modelling More time spent on graphs More time spent in data modelling Less time spent in graphs COSTS