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Looker vs Looker Studio comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Looker
Average Rating
8.0
Number of Reviews
19
Ranking in other categories
Embedded BI (5th)
Looker Studio
Average Rating
7.6
Number of Reviews
11
Ranking in other categories
Reporting (12th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Looker is designed for Embedded BI and holds a mindshare of 26.9%, up 24.7% compared to last year.
Looker Studio, on the other hand, focuses on Reporting, holds 2.3% mindshare, down 2.8% since last year.
Embedded BI
Reporting
 

Featured Reviews

Subramani R - PeerSpot reviewer
The APIs are exposed at every level, so it's highly modular
Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs and different platforms. You can't create very attractive visuals with the built-in features, but I think they're providing some extensions to develop different visualizations. Looker can't create multiple sheets. You can only create one dashboard. It's not that you're able to toggle through different sheets to navigate different visuals. It's just one and people have to scroll through the dashboard. So scrolling is not something that people generally like to do, rather than segregating them in multiple tabs of sheets.
Srini-Dhanaraj - PeerSpot reviewer
Available for free and can help businesses resolve their data migration problems
It is a stable solution. Stability-wise, I rate the solution a ten out of ten. Google Data Studio is a cloud-based tool. With cloud-based tools, there can be two challenges, the first one being associated with the bandwidth of your data strength. If I run a report from my home because of the wi-fi connection, it may give an excellent response. When I run the reports, Google Data Studio develops reports from my home, and because of wi-fi, it works in an excellent manner. When I am on the road or at the wheel, if I use the internet data from my mobile to browse my reports, the performance may not be good, and this issue is not because of the product but because of the bandwidth. The second issue arises when you connect Google Data Studio to a source system to extract the data to do the visualization. If the source system is not responding as quickly as expected, it could be the reason why the report may be printed slowly. Considering the aforementioned aspects, the problem may not be because of Google Data Studio but because of the source system.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is a pretty stable solution because it is a cloud-based product."
"I would rate the stability a ten out of ten. I didn't face any issues with stability."
"It's quite effortless to navigate through various applications and review their updated data in real-time."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"We can centralize all our data models."
"The product is easy to use."
"Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture."
"With Looker, I have experienced benefits in terms of usability and shareability."
"The ability to design complex data models and equations."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to integrate with a great variety of data sources."
"The solution is free so that is a good feature."
"Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The best thing about the tool is that it allows you to share information easily and dashboards with colleagues and teammates because it's all online. No matter where you are, as long as you have the Internet, you can connect and use these dashboards. Google made good documentation for this tool. There are many examples of how to use and create dashboards and videos on YouTube. So, I think it's easy to learn."
 

Cons

"Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms."
"The product does not have documented material."
"It needs to be more user-friendly."
"Integrations with other BI tools could be better."
"The main area of concern in Looker is probably related to blending the data from the different sources, including the data present internally in the company and on the cloud."
"Stability needs improvement."
"The visualization capability of the product is limited."
"The integration with different databases must be improved."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"Stability and scalability an be improved for a full ten."
"The tool has a lot of room for improvement. It's not very professional and allows for only simple tasks like indicating KPIs or quick calculations. It lacks a good calculation-based language like Power BI's DAX, making it less suitable for professional use. Additionally, the variety of visualization tools is limited, and customization options are restricted."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Panels are not as easy to use as other data extraction UIs."
"It's not yet a replacement for a complete BI tool."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
 

Pricing and Cost Advice

"It's not cheap, but it's not expensive for big companies."
"It is cheap."
"I do not have to make any payments to use the solution."
"The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."
"Looker is expensive and could be made better by reducing it."
"The cost is quite affordable based on feature analysis."
"The tool is free."
"The solution is free but the Google Looker is expensive."
"The product is available for free."
"I think the tool is cheap because you don't need to pay anything for using the tool. However, when connecting and analyzing other data sources, you should consider where to analyze this information because Google Data Studio doesn't handle much data well. You must also consider how you will connect this data to it. In this case, you might need to hire DevOps or a data team to help with these issues."
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Top Industries

By visitors reading reviews
Educational Organization
37%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
7%
Computer Software Company
14%
Financial Services Firm
12%
Manufacturing Company
11%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Looker?
With Looker, I have experienced benefits in terms of usability and shareability.
What is your experience regarding pricing and costs for Looker?
I do not have to make any payments to use the solution. In the beginning, Looker may work fine for its users. If advanced users who have experience with BI tools use Looker, then they may find it t...
What needs improvement with Looker?
The visualization capability of the product is limited. From an improvement perspective, the product should have more visualization capability. I can't clean data in Looker, and if I try to do it, ...
What do you like most about Google Data Studio?
The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, all...
What needs improvement with Google Data Studio?
The performance of Looker needs improvement, particularly the report loading time, which is critical for business users. The initial report loading takes time and affects user's perception of the t...
What is your primary use case for Google Data Studio?
We are using Looker primarily for visualization to analyze e-commerce industry's analytic reports. We use it to track orders per ZIP code and sales based on quantity, stocks, and revenue. The tool ...
 

Comparisons

 

Also Known As

No data available
Data Studio
 

Learn More

 

Overview

 

Sample Customers

Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer
Genesys, Shueisha
Find out what your peers are saying about Salesforce, Qlik, MicroStrategy and others in Embedded BI. Updated: November 2024.
823,875 professionals have used our research since 2012.