Looker Overview

Looker is used in my organization for cloud data analysis and visualization, allowing us to explore, visualize, and understand our data more efficiently. One thing I like about this platform is the ability it has to integrate with a wide variety of data sources, including relational databases, data warehouses, and other cloud data warehouses; it has allowed us to unify data and perform analysis in one place, this has helped improve efficiency and business decision making time. Looker is flexible and customizable; it is possible to adapt it to the organization's specific needs, allowing us to create our data models and ways to visualize data, such as dynamic tables, graphs and custom dashboards. Review collected by and hosted on G2.com.

With simplicity comes lack of flexibility. More skilled data analysts will want more flexibility than Looker can provide but at the same time you need to have highly skilled Data Analysts to be the Developers (high level of permissions) to set up the data so that less skilled analysts (the users who benefit from Looker most) who are Explorers don't build views that grossly misrepresent the data. My biggest pet peeve with this software as an Explorer is that you cannot make calculations on the base data...only the data that you pull into your table (called table calculations). That is a major feature that Tableau has that Looker does not have at the Explorer permission level. Of course developers can use LookML (Lookers data language) to create a new column...but a Developer license is more expensive and creating the fields take time and it's something you constantly will need.