Tableau Vs Looker, both tools are BI Tools and have some similar and different features. Both Tools use structured and unstructured data for designing Visualizations. Below are the Differences between, tableau and looker, kindly go through them.
Know more about Tableau Analytics by Tableau Online Training1. Tableau Vs Looker:
a)Embedded Analytics:
Both Looker and Tableau Offer the best analytics. They make BI free for users. Use these tools, to add user dashboards and Business apps.
Final Users can change, these visuals without Any Access. They offer the company with options. Specifically, for white-labeled analytics.
Tableau Provides Embedded analytics. That is with a full useful Interface, Like JavaScript API. Users of tableau can Show, What type of Data users access. That is by exposing and hiding free Data.
Looker analytics is available, with Developer Tools. That is like API and SDK. It is an Integration Library Guides Developer. In the same way to set on tricky Apps.
Embedded Looker visuals were so Flexible. They were optimized for the end-user. With the same and Similar Behavior, they found in the Looker tool. Final users even list, the alerts with Visuals, which totally adds. Value to the provider.
b)Data Integrations and Connectors:
Tableau is a community of Developers, who Spread Datalinks.
Coming to Looker, It Runs on SQL Language. Once they link Data Analysts should map the Data to look at ML.
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c)Dashboards:
This is the place, where most of the Users Spend their Time. It shows data. For ken patterns. That sink with the Query of User.
Design dashboards are open to Business Users. Here you can find the first Graphics and Visuals in both Tools.
Tableau Drop and Drag Visual Editor let users. To ask more queries to the data set types. Tableau Real-time Data Access. Offer many distant Queries. That Pulled together from Database. Not to limit queries. They pre-approve Data.
d)Data Collection:
Both Tableau and Looker tools. Not offer Data collection. Especially, the storage we can connect, Data Sources are like SQL Tools and Accessing Data. In-ground tableau offers many Data Sources and Data Modelling.
f)Data Visualization:
Generally, Looker Offers Data Visual features Channeling numeric into Graphs Charts. They were displayed in Real-time Dashboards and many Vendor Tools. For Example Apps Store data In some particular ways.
Tableau vs Looker pricing
In this comparison of Tableau vs Looker, there are many areas of differences among which pricing is also an important one. Both are highly reliable and most popular self-service BI products. They help businesses to better understand their data and visualize more effectively.
Tableau is a BI product and it provides robust BI tools useful for data visualization and discovery. This is meant for different types of companies. It uses simple to use drag-and-drop features that make it the users feel easy to understand and analyze the data.
Moreover, the tool offers tailor-made subscription offers to users. There are three criteria like Creator, Explorer, and Viewer. The pricing of these categories is like $70/month, $35/month on-premise, and $42/month if it is on-cloud deployment.
They are charged on per user per month basis for the Creator and Explorer category. For the Viewer category subscription, it requires at least 100 viewers to buy the plan. The viewer category is that where viewers may access the visualizations that are done.
Moreover, Tableau offers a 14-day free trial subscription to its new users as well. After they use trial, they can decide to go for a premium version as per their needs
But Looker doesn’t reveal its pricing information publicly instead it provides a customized approach. Through this their pricing specialist creates a dynamic pricing model for businesses. The quotes may be decided upon by the contact made to the vendor directly by the companies.
Thus, in the Tableau vs Looker pricing comparison, it varies differently from user to user and also the business.
Tableau vs Looker: Implementation
Coming to the implementation part, both the products in Tableau vs Looker have different strategies.
Looker BI tool is a browser-based product that has a faster deployment rate than traditional BI models. Due to having a .jar file Looker customers can deploy the platform in hours instead of waiting for a long time. It is easy to install the platform within the customer’s existing business structure. Also, it can be hosted on either the customer’s or Looker’s servers which is easier. Moreover, Looker’s execution team can also develop a tailored deployment plan that aligns with the client’s various needs.
On the other hand, the Tableau tool offers different execution options. It offers some quick-start options for small-scale business deployments that require a few hours to set up.
Tableau vs Looker: Customer support
Customer support and after-sales support are the most important areas for any application. When it comes to Looker, it offers a public help center including published information and videos. Moreover, it provides email support for its customers and also offers a training program on its platform.
Tableau users can submit their support tickets using the customer portal or through a web form. Further, the platform offers a complete knowledge base through its different subscription categories- Desktop, Server, and Online. Here, customers and users can access the support services through customized versions of the software. They also have the option to access community forums and they can also attend training and other events.
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Tableau vs Looker: Which tool is better?
In order to make a wise decision to choose among the Tableau vs Looker tools, a has to consider the following things.:
User’s current infrastructure and business size.
Needs and requirements of data analysis.
It also requires knowledge about the type of charts, graphs, and information needs to communicate with the team well.
The requirement of getting access whether on-premise or on-cloud platform.
Last but not least, every user has to look into the visualization output of both the tools in the Tableau vs looker. This will help them better to decide which is best suitable for communicating marketing campaign data.
Hence, there are many factors to consider before we decide to use the BI or any other platform in real-time. It makes the company and users wise to see their business growth in the long run.
Bottom Line
In the Tableau vs Looker comparison, we have gone through various aspects of differences on both platforms. Both are the most useful BI products and have their own market presence. They have different strengths and weaknesses that are common while we compare any two platforms or tools. Using Tableau, users can join with an infinite set of data points for their analyses and complete support options through OLAP functions.
Looker is also easier to use though it provides an owned data modeling language LookML. So, it is useful for a simplified data analysis for both the new timers and experienced SQL professionals.
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