Looker VS QuickSight

Introduction:

If you wish to understand the differences between QuickSight and Looker then you have landed to the right page. As today, we are going to do a detailed comparison between QuickSight and Looker. So let us take a look at what both these BI platforms have to offer.

What is QuickSight?

Amazon QuickSight is a platform that enables all the users in any organization to understand their entire data by asking questions in natural language. With QuickSight, you get to explore data through interactive dashboards and look for different patterns and outliers automatically that are powered by machine learning.

QuickSight is used for powering thousands and millions of dashboard views for customers on a weekly basis. This includes NFL, Volvo, Best Western, Expedia, Thomson Reuters, and Comcast etc thereby enabling all their end-users to make the best data-driven decisions. You might also be interested in comparison between QuickSight and Tableau.

What is Looker?

Looker is also a very meticulous BI tool that offers interactive visualizations and dashboards to all its users. With the help of Looker, you get the chance to discover all the hidden insights from your data and perform accurate forecasting. Similarly, Looker also enables you to do what-if analysis and you can also add easy-to-understand natural language narratives in your dashboards.

Moreover, using Looker you get to ask conversational questions of your data and also use Q’s ML-powered engine for receiving relevant visualizations without wasting time on preparing data from authors and admins.

Pros and cons of QuickSight:

Below you can find both pros and cons of using QuickSight.

Pros:

• QuickSight is completely cloud-based solution.
• It is a kind of platform that doesn’t need any work on maintenance.
• Similarly, you get the opportunity and right tools for creating beautiful and meaningful dashboards from structured data. 

Cons:

• It only provides flexibility with on-premises data sources.
• Connection is not reliable.

Pros and Cons of Looker:

Just like QuickSight, let us also take a look at the pros and cons of Looker.

Pros:

• It provides really interesting data provided all the databases to exist for them to be sliced.
• Similarly, the delivery system offered by Looker is quite easy-to-use as compared to that offered by QuickSight.
• Customers are able to pick up the report creation in an instant.

Cons:

• The API of Looker is quite difficult to use.
• Maintenance of the on-premise servers demands a lot of time and maintenance.
• The data tends to write slowly in the cloud.
• LookMLs seem to be very confusing with referenced objects.

Comparison based on usability:

QuickSight:

The best thing about QuickSight is it is very easy to use and no extraordinary effort is required for its setup. Once it is build, all the dashboards can then be used thereby allowing even multiple clients on the same domain. Similarly, it offers multiple connectivity options that make it an easy and versatile option for reporting.

Looker:

Moving on to Looker then our readers should know it is also easy to use. But all the customers for the front-end would face some issues with the initial setup for looker ML creations. But know that other “looks” are quite easy to setup and that too depends on the ETL and the type of data that is coming into Looker regularly.

Comparison based on Pricing:

QuickSight:

If you want a monthly subscription then the charges are $24 a month.

And if you are interested in annual commitment then you can pay $18 a month.

Looker:

Looker pricing can be customized according to the demand of the customer. And you can request a quote by visiting their official website. (https://looker.com/product/pricing)

Comparison based on customer support:

QuickSight:

QuickSight’s customer report is very responsive and whatever the problem you may face is addressed by the team.

Looker:

The Looker Premium support is not too bad as well. They seem to be very responsive and caters to all the technical issues one might have. If you're interested in learning best leadership approaches, then visit here.

Conclusion:

Summing up our discussion with a viewpoint that Amazon QuickSight is a cloud-based solution that works pretty well. It saves a lot of hardware and maintenance expense of the user as the user himself can maintain it by giving commands on UI. Looker on the other hand is also a convenient platform that is for less evolved reporting. Meaning, it is not designed to scale fully but it is without any doubt a good product for the company.

So in short, both the BI platforms have a variety of features to offer and it depends on the user or the organization to choose the one that fits their needs.