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Alteryx vs Looker comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Alteryx
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
85
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (6th), Data Preparation Tools (1st)
Looker
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
19
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 7.6%, down 22.8% compared to last year.
Looker, on the other hand, focuses on Embedded BI, holds 6.4% mindshare, down 9.0% since last year.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
Alteryx7.6%
Anaplan6.8%
SAP Business Data Cloud6.7%
Other78.9%
Predictive Analytics
Embedded BI Mindshare Distribution
ProductMindshare (%)
Looker6.4%
Tableau Enterprise17.6%
Qlik Sense8.6%
Other67.4%
Embedded BI
 

Featured Reviews

Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.
Kishore Jhunjhunwala - PeerSpot reviewer
Sr Analytics Consultant at a outsourcing company with 1,001-5,000 employees
A cloud solution for operational reporting but is expensive
Some basic feature that is available in other reporting tools is missing. Looker has the ability to show more than 5,000 rows for operational reporting. Some reporting tools allow users to scroll down to see more than 5,000 rows, but in Looker, you have to download the entire dataset. Looker should consider adding a scroll-down option to allow users to view large datasets on screen without downloading them. Looker has some options for granting users access as viewers. However, viewers cannot download the entire dataset. Only superusers can download the whole dataset on the Explore screen. This is a big limitation, as you cannot give any user viewer access. You can give access to superuser access, which is a cost to the company.

Quotes from Members

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

Pros

"The drag and drop and layout is simple to understand, with intuitive names of features."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"Something that would take an hour or two hours to do it manually can take five to 10 minutes for Alteryx."
"The cloud deployment ensures it scales easily."
"Alteryx is so advanced. It's just drag and drop."
"The scheduling feature for the automation is excellent."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The support is very good overall; we are satisfied with their level of service, and they are knowledgeable and responsive."
"The most valuable features are the ability to create visualizations for non-technical employees, as well as the ability to provide ways to dynamically slice the data."
"Empowering every employee to make smarter decisions in less time easily pushes us into the black on ROI."
"From a developer's perspective, the way the functionality's being handled is great."
"It is a pretty stable solution because it is a cloud-based product."
"We can centralize all our data models."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"Looker is an extremely valuable product that can really transform your company's ability to use data to answer challenging questions."
"The product is easy to use."
 

Cons

"More emphasis on extensible R and data augmentation interface design."
"For me, it was a bit challenging to figure out how to work with Alteryx."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"Alteryx can improve the model management and deployment processing of large workloads."
"It would be great if Alteryx could take third party tools and incorporate them."
"Configuration is very low and is not good for the customer end."
"In my opinion, Alteryx does have a zone to do predictive analytics, but it is very limited, so they could focus more on that."
"This is a proprietary tool and maybe the open source part of it could be improved."
"The product does not have documented material."
"Stability needs improvement."
"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."
"There is a lot of customization that we needed/need to build ourselves. Other BI tools have more out of the box."
"The integration with different databases must be improved."
"They need to work more on interactivity in order to help users interact with the tool itself, and it needs to be more user-friendly."
"The pricing model makes sense, but can be very expensive, potentially prohibitively so for smaller companies."
"It needs to be more user-friendly."
 

Pricing and Cost Advice

"There is a license required for this solution."
"The designer has a list price of $5,995 USD."
"In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."
"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."
"Alteryx is an expensive solution."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The pricing is $5000 per year per production license."
"I rate the solution's pricing as a ten, as it is highly priced."
"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."
"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."
"Looker is expensive and could be made better by reducing it."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
7%
Retailer
6%
Financial Services Firm
13%
Retailer
9%
Computer Software Company
9%
Media Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise54
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise8
Large Enterprise6
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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Comparisons

 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer
Find out what your peers are saying about Alteryx, Anaplan, SAP and others in Predictive Analytics. Updated: March 2026.
885,311 professionals have used our research since 2012.