Looker vs Tableau

Communication is very important for any business. Through communication only we can spread and develop our business, the way how we communicate decides our success. We share details about our business, the services we are offering and the products we are producing. So, the way of presentation must be attractive and easily understandable. Data visualization is the best one for that through visualized data we capture more data into our brains with one glance. Which publishes more than normal content publication. Data visualization publishes more than normal publication. So organizations start using data visualisation, there are many tools available for data visualisation.

The normal content information has less effect than showing them in graphs and tables. Even they are useful for giving complete details of a company to its own staff and motivate them towards the organization's goals by using graphs, tables, and also data visualization tools. We may have doubts like there are many tools of data visualization available in the market. But which one we have to choose. Because in this competitive world everything has competition.  

In this blog we are going to discuss the required topics like what is a looker, why is a looker, what is tableau, why is tableau, comparison between looker and tableau, advantages of a looker, disadvantages of a looker, advantages of the tableau, disadvantages of the tableau.

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What is Looker

A powerful platform which is used for data analysis. Which is very useful for both small and large organizations and helped them alot in their data analysis. It is a cloud-based business intelligence platform created to explore and analyze data, and the solution helps organizations to capture and analyze data from multiple sources, which helps to make data-driven decisions. It is very easy to use for a regular user, which most of our customers are, when our email is activated, we have access to the product and new users require very little direction to start getting value out of it. It is a very complete tool which allows us to build customized dashboard and KPI tracking reports. 

why looker

Looker Powers data experiences:

It provides us the tools, which helps us to power a multitude of data experiences, which is from modern business intelligence and its embedded analytics to workflow integrations and custom data apps. Without considering where your data resides, it provides a unified surface to access the truest, most latest version of our company’s data. And with data integrated into customers daily workflows, businesses can extract value from their data at web scales.

Common data model over all our data:

Looker optionalize BI for everyone by using powerful data modelling that abstracts and underlying data complexity at any scale, which helps to create a common data model for the entire business.

Embedded data experiences:

Looker helped to embed analytics anywhere with rapid time for value and customise the feel and look of our data experience and a library of popular integrations that put us in control.

What is tableau

Its specialisation is designing the data into beautiful visualisation which attracts people's eyes towards them. Users can easily connect to this beautiful visualization. It saves us time when updating daily and weekly reports, which currently reside in spreadsheets. That is why Tableau separates the data layer from the presentation layer, which makes updating a spreadsheet data source a trivial append to the bottom of our source spreadsheet. It is used to reduce the burden on our IT team by enabling end users to conduct meaningful analysis, make useful discoveries and build interactive dashboards with much less technical support versus traditional tools. It is a way to expand the frequency, depth and variety of data used in our businesses that is most importantly, it’s visual analytical capabilities are simple to use.

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why tableau

It is greatly used for data, which can be analyzed very fastly with it, and also visualizations are designed as dashboards and worksheets. It provides a facility for one to create dashboards, which provide actionable insights and runs the business forward. Its products always operate in virtualized environments when they are configured with the structured underlying operating system and hardware, that is used to explore data with limitless visual analytics. Some special features of Tableau are Real-time analysis, Data blending, Collaboration of data, Allowing to work on without technical knowledge, etc.

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extracted data from Tableau Desktop may be published to its Server, that is an enterprise platform where the collaboration, distribution, governance, security model, and automation features are supported by tableau. By using Tableau Server, end users can gain access for the files from all locations, it can be a desktop or a mobile phone. Tableau Business Intelligence and Data Visualization tool has been placed in the Leader’s quadrant, that is designed for seven consecutive years in the Business Intelligence and Analytics platforms by the IT research firm, Gartner.

comparison between looker and tableau

It is a little bit tough to decide which visualization tool is better Because they both Perform well and have almost equal capabilities.

Data visualization  


For visualization tabulae uses structured and unstructured forms of data. And also use special features like file connector and storyboarding. Its Expressive visualization helps to enable us  to get beyond static charts, used to create multi-faceted views of data and explore every dimension. The rise of big data and the growing public awareness of its power has created this moment for data visualization, it is changing the way the world looks at data. It is perfect for developing creative and powerful data visualizations for any organizations, and offers professionals looking to spot trends, outliers, and patterns an insightful, data-driven business focus, which truly separates the signal from the noise.


Looker uses customised forms to create visualization and gives choice to users to select visualization templates. It helps our data to make an impression with Looker’s data visualization software, and maximize impact and tell a more compelling story by using tools which allow for deeper analysis. Its Interactive and dynamic data visualizations and dashboards give us the flexibility to drill down into our data when maintaining a secure, birds-eye view of operations. Either it's booking a meeting with a rep, or sending a team group text, or emailing a customer about a delay, It provides an easy, user-friendly workflow.

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When it comes to analytics, looker seems to be good because it performs an exclusive function on analytics it maintains blocks which are fully customised for our needs. It enhances the tools, which we are already using by infusing new and relevant data. It unifies and empowers your teams to make more effective informed decisions. Data Invigorates our workflows with fresh and reliable data, it provides teams unified access for the answers they need to drive successful outcomes.


Tableau is better for its online process of analytics by using OLAP for those companies which are looking for OLAP usage it looks to be a good choice. It promotes an investigative flow for continuous and flexible cohort analysis and moves through different perspectives fastly by slicing and dicing the data along with many dimensions we want. Its Automated clustering machine learning technique helps to improve our segments. It is often helpful for spotting difficult to see patterns in data sets with high dimensionality. 

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Tableau uses CSV for integration which is a source for a broad range of data. It is one of the core scenarios used for Analytics Extensions is the integration of predictive models, and into Tableau visualizations. Its dynamic integrations  provide real-time predictions on the latest data, flexible scenario testing, and predictions on filtered datasets, the Additional configuration in Tableau Server is needed to enable external advanced analytics functionality.Tableau uses Teradata, Microsoft SQL, Oracle for data extraction.


Looker uses API for integration with SQL and also allows third party applications.We can get more value from our data, faster, with Its connections, Looker's simple configuration makes data available within minutes and all from the Its UI. No need to spend weeks or months testing our new analytics tools, create a complete analytics suite by using  Looker in under 24 hours. We may use Looker connections in conjunction with Its Blocks used to gain holistic analytics straight out of the box, then customize your dashboards and reports with the flexibility of Looker’s modeling layer.Looker uses sources like snowflake, Amazon redshift for data extraction. 

Decision services


Looker helps the users in understanding the functionality of the system with the assistance of experts. It also provides training and workshops facilities. 


Tableau provides insight for business performance which can be used for decision making. It provides fraud detection tools for users.

Document management


Looker converts the information or form the documents in the form of HTML, TXT, CSV, PNG and google spreadsheets. a folder in Looker is a container, which stores content, and that content in Looker can take the form of either a Look, that is a saved snapshot of the data, which results from a query. A dashboard, that is a collection of files showing visualized query results, and folders enable us to organize our Looks and dashboards into logical buckets. Its folder needs a user to have the view access level to see it, and the Manage Access, and provide edit access level to change its contents. The folder access level needed to organize our personal folder and possibly other folders, and the ability to view.


Tableau exports the information in the form of images, PDFs, crosstabs, etc. Its Data Management helps us better manage, and the data within our analytics environment. Tableau ensures that trusted and latest data is always used to drive decisions. Tableau fro. data preparation to cataloging, search, and governance its Data Management will build, Its Data Management provides the visibility and control required to drive trust in your data environment, and  allows everyone to be confident the right data is being used for analysis, Tableau helps to Empower self-service data prep and analytics, along with more ease by operationalizing and automating your data management.


Looker vs tableau

When it comes to price, they both are similar. They charge for their services according to company requirements only which bring variation for small and large organizations it is good news for companies. The looker is completely browser based. There is no special need for installing software and use of the desktop. We can easily use it with the help of a browser only if there is no need for a desktop. We can manage it with the help of tablets and mobiles also which seems to be a cool feature. In a looker there is prioritization for customer feedback. Tableaus advantage is it uses OLAP and big data integration in reporting.

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Advantages of looker
  • It provides easy and interactive visualizations. 
  • It follows a special modeling language and is simple to use. 
  • It has great customisation and offers heatmaps, web charts, word clouds, bubble charts, etc. 
  • It integrates the big database and being an intuitive database is enough for it there is no need of extra data it also offers code blocks for your specific needs. 
  • It contains the customer and technical support. It works on both Mac and Pc. It can easily send a link from the single tool. Not only on a desktop we can use it in mobiles and tablets also. 

As there are many benefits there are some drawbacks also but it's not a big problem because everything has its own pros and cons. Let us see drawbacks also because we have to know every angle to let us see. 

Disadvantages of looker
  • One of its drawbacks is lack of flexibility because of its simplicity. It became a drawback for it. 
  • For longer matters and issues we have to wait for a long time. It takes a lot of time to load large size data. It is also becoming a drawback for it. 
  • Sometimes it needs a manual process. We need to use spreadsheets. When it comes to price it is not fixed or particular, they customise it based on our needs.
Advantages of tableau
  • customised. It also has a single sign on feature along with easy embedding. 
  • It is user friendly, it maintains access to the web based analysis.
  •  It also allows its user to convert their content into different formats and share the analysis. It integrated with a large number of resources. Not only for the desktop it is useful for the mobile and tablet also. 

Like looker it also have its own drawbacks but varies from the looker

Disadvantages of tableau
  • Its dashboard may consume the time Which became one of its dashboards. 
  • Another drawback for this is sometimes when it is dealing with long files it takes minutes to load which delay the workflow. 
  • The other drawback for this tool is there is a limit for graphs in some cases when we are representing our data. When it comes to price, it has no fixed price. They have flexibility in the price they charge according to our needs only.

Both of them have similarities like pricing at the same time there are many differences which varies them from one another even though they are different from one another both of them are very popular visualization tools available in the market. They both are very good at their services It is not possible to decide which one is best because they both are good at their services they both have their own drawbacks also which one we have to take is based on our needs and requirements. We can choose one from them based on our requirements which one can reach your company requirements. Instead they both are very good visualization tools.

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Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.