Tableau vs Looker

What Is Tableau?

A Tableau is a powerful BI tool that enhances the visualization of data. Using Tableau, users can analyze the large volume of data and they can create reports quickly and efficiently.

What Is Looker?

Looker is a big data analytics platform and business intelligence software that shares, explores, and analyzes real-time business analytics easily to the user.

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Let dive into the key comparison between Tableau Vs Looker

Tableau vs Looker#1. Data Visualization

Data visualization comes in many forms such as graphs, charts, dashboards, worksheets, widgets, infographics, heat maps, treemaps, and funnels.

Tableau: A Tableau is a powerful BI tool used for data visualization. Data analysis can be done quickly and effectively using Tableau. Visualizations of data can be created in the form of dashboards, graphs, and worksheets. Tableau has ready-made templates; so you can easily prepare dashboards with drag and drop features. It allows the user to create visuals and graphics without the help of any programmer. Any professional can understand the data that is created using Tableau.

Looker: On the other hand, Looker is also a BI tool used for data visualization. Looker helps in creating and configuring the charts and graphs with the drop and drag function. You can also put your desired elements and assign roles such as Users, Developers, and Administrators so that the visualization of the data looks efficient. Using mapping, feature non-technical users can also prepare highly technical data visualizations.

Tableau vs Looker#2. Integration

Tableau: Tableau integrates with a broad range of data sources like CSV, spreadsheets, SQL databases, Google Analytics, and many more. It also connects with the R to provide control to the analytical tools.

Looker: Looker is an open API to integrate with SQL database and third-party applications such as Green plum.Looker has wonderful extension features that allow you to work with other products and systems.

Tableau vs Looker#3. Data Modeling

Tableau: Tableau has snowflake and dimensional data models to analyze a large volume of data. These models are used in a data warehouse to integrate the data with different sources and helps to improve the performance of analytical queries.

Looker: Looker provides a LookML data model that is powerful, reusable, and flexible. LookML is the replacement for SQL because SQL is not reusable and flexible. So, LookML provides analysts with sophisticated tools to build high-end analytics.

Tableau vs Looker#4. Reporting

Tableau: Tableau is the best tool to create reports. You can prepare the customized reports according to user requirements. Tableau uses extensive connectors and fast authoring environment to create and publish dashboards and reports in multiple output formats.

Looker: Looker provides standard reporting templates to the user. Using standard templates, users can create reports quickly and efficiently. Looker enables ad-hoc reporting to build custom reports according to user specifications.

Tableau vs Looker#5. Speed

Tableau: Tableau allows users to create interactive and effective visualization reports within a few minutes. You can make the entire process fast and easier because it will enable you to share the reports online and offline.

Looker: Looker is slow in processing the data and creating the reports when compared to Tableau. It takes hours to share the reports with the user

Conclusion:

Now, you have got an overview of Tableau & Looker and the key difference between their features. Even though both Tableau and Looker provide a set of features, every service is designed for different organizations. So choose one of these two BI tools that best suits your organization's requirements.