![]() Looker hasn’t invested in native augmented analytics capabilities and therefore is reliant on third party integrations. Our augmented analytics improve speed to insight and lower the barrier to entry to more advanced analysis. Tableau has made heavy investments to incorporate AI-driven insights and natural language querying in the platform. This leads to dependencies on a handful of technical specialists to conduct analysis at the data model layer or to code in functionality to meet user requirements. In Looker, end users are limited in ad-hoc analytics capabilities. Tableau provides deep analysis capabilities for end users, allowing for ad-hoc analysis on IT-curated data sources without requiring IT to continually make changes to the underlying data model. Looker allows users to visualize data with a finite list of native visualization choices which often necessitates integration with third-party tools for custom visuals. Tableau’s robust data visualization capabilities unlock limitless creativity and flexibility for exploring, visualizing, and communicating with data. In many cases, what is no-code functionality in Tableau requires coding expertise to achieve similar results. Looker’s product philosophy is rooted in the ability to write SQL. ![]() Tableau is easy to use, providing powerful, intuitive analytics capabilities that empower more people to analyze data without relying on technical experts to write code. Tableau Conference Toggle sub-navigation. ![]()
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