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Tableau VS Looker


There are many Business Intelligence tools that are used by many companies to help them visualize and understand data meticulously and then make data-driven decisions accordingly. But as of this time there are two tools among them which are mostly being used by organizations. These two most popular business intelligence tools are Tableau Vs Looker. Both these Tableau Vs Looker tools have found out to be helpful in visualizing data and then making important decisions according to it. Though both the Looker vs Tableau tools are effective yet there are some differences between them that one needs to understand and then decide which one to use. You might also be interested in Tableau Desktop Dumps.

Learning Tableau does not require any prior programming knowledge as all you need is the software and data to generate visually enchanting reports. For learning Tableau and for Tableau certifications, we have full-length Tableau Certification practice test and exams to let you have enough practice material to prepare for the Tableau Certification. You might also be interested in Tableau vs Power BI.

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Tableau Vs Looker:

So let us make a comparison and point out some difference between Tableau and Looker on following basis:

  • Looker vs tableau pricing
  • Tableau vs looker performance
  • Looker vs tableau visualization
  • Looker vs tableau speed
  • Looker vs tableau for forecasting
  • Looker vs tableau for features



What is Tableau? Tableau has advanced BI tool to offer that only enhances data visualization and discovery and can be used by all types of business organizations and users. Looker data platform on the other hands is a data-discovery platform that is used to help companies make better business decisions using real-time access to data.
It offers simple drag-and-drop features that users can easily use and analyze key data and then share critical insights across the enterprise. With the help of such easy to understand options, you can easily create innovative visualizations and reports. It doesn’t matter what the size of the data is, it can be analyzed within Looker’s 100% in-database and browser-based platform.

It also offers easy options that can integrate with any SQL or data warehouse such as Amazon Athena, Greenplum, and Microsoft Azure SQL data warehouse.

Tableau has the ability to support hundreds of data connectors which also include OLAP and big data options like NoSQL and Hadoop as well as cloud options. Not just that, it can also pull data from an SQL database for analysis. Whereas Looker has its own proprietary modeling language known as LookML that is described as a better way to write SQL and defining all the queries.
It helps users to load and extract data through its many connectors that have the ability to link to a variety of data sources. Similarly, LookML helps users to develop different custom models within the platform. These built data models allow non-technical users to scan an SQL database successfully because of no complicated coding needed.
Tableau’s device designer tool enables users to design, customize, and then publish dashboards that scale for desktops, phones, and tablets as well. Similarly, users are also able to embed dashboards into their existing applications like Salesforce, SharePoint, and Jive. Is Looker easier than Tableau? Looker lets users to create new metrics and then edit the existing model and also explore a variety of data visuals which include charts, graphs, and maps.

These easy-to-build dashboards from looker offer customized visuals and can be accessed by any device.

Tableau offers several implementation options and comes with quick-start options for small-scale deployments that can be set up easily in a few hours. Whereas, looker is browser-based which leads to faster deployment than the traditional BI models. Instead of having to wait for weeks or months, all the looker customers can deploy the platform within hours because it is packaged in a .jar file.
In tableau’s customer service and report option, users are allowed to submit support tickets through a web form or customer portal.

With that, it also offers a comprehensive knowledge base that is categorized by its three subscription categories that are desktop, server, and online. Moreover, users can also get access to tableau community forum where they can attend training and other events.

Contrary, looker offers a public help center that encloses in it a wealth of information in the form of published documents and videos which you can easily consult in case of any problem.

With that, you also get a facility to email support where all your queries are answered and they provide sufficient training on its platform as well.

Tableau Certification Practice Tests:

Tableau Desktop Specialist Certification Dumps     Tableau Certified Data Analyst     Tableau Server Certified Associate Practice Tests

By taking a look at what both Looker vs Tableau has to offer, you can easily understand both their advantages and features and then decide which business intelligence tool you should be using for your organization. So read this topic now and don’t forget to stay home, stay safe, and never stop learning. We have come up with Tableau Training which could be helpful in learning knowledge and also for certification preparation. You can also checkout the comparison between SAP Lumira vs Tableau.

These Tableau Certification Preparation Training Videos are for those who are preparing for the Tableau Certification Exam (Desktop Certified Associate or Desktop Specialist) and need a guideline for their preparation for the real exam