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Google Cloud Datalab vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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

Google Cloud Datalab
Ranking in Data Visualization
19th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (16th)
Qlik Sense
Ranking in Data Visualization
2nd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
115
Ranking in other categories
Embedded BI (2nd)
 

Mindshare comparison

As of January 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.5%, up from 0.5% compared to the previous year. The mindshare of Qlik Sense is 7.4%, down from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Nilesh Gode - PeerSpot reviewer
Easy to setup, stable and easy to design data pipelines
The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.
Yogesh_Pawar - PeerSpot reviewer
Easy to use but needs to improve the user interface part
Qlik Sense is not meant for writing something from the user interface, which is a major challenge because our company wants users to interact with the reports and to input some comments or data that should get stored into some database. The aforementioned area can be considered for improvement in the product. With Qlik Sense, there is a need for it to provide good performance because if there is a large volume of data, then its performance becomes slow. User interaction or user experience is not that great in that case if the data size or reports are huge. The aforementioned area can be considered for improvement in the product. Right now, we are trying to follow up with some best practices recommended by Qlik Sense, but to be honest, it is not helping us much because we have very large data in a single application, and we are struggling with it. The product should have an interactive and friendly user interface. The use of APIs is not as friendly as it should be in the first place, especially when considering Python scripts and all other scripts, making it an area where improvements are required. There should be some easy way to integrate the product with the aforementioned areas.

Quotes from Members

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

Pros

"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"For me, it has been a stable product."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"All of the features of this product are quite good."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"It automates recurring processes to save time and money."
"Faster time to delivery utilizing useful charts and graphs, which allows for on-demand generation of analytical data in tables, graphs, and charts."
"The most valuable feature is the interface for the end-user."
"The flexibility of a non-IT developed solution allows for fast to market solutions."
"The Nprinting is useful."
"The product is very stable."
"The tool's data analysis is useful to help out the teams across the globe and to track their work."
"The drag and drop UI has been the most useful to me."
 

Cons

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"The interface should be more user-friendly."
"The product must be made more user-friendly."
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."
"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"In my opinion, collaborative development of the Qlik Apps is a bit tricky and difficult in the Qlik Sense Cloud."
"The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features."
"Ultra-customization: It needs no limits on which charts can have x amount of dimensions, y amount of measures, z amount of color expressions, etc."
"Dates. My goodness, working with dates in set analysis can be a nightmare! Much room for improvement."
"The communication with the solution's sales managers in Europe is very bad, making it an area that requires improvement. My company usually gets no response from the tool's sales managers."
"Needs more bookmarking and a data load screen."
"Qlik Sense requires one to have a lot of technical knowledge."
"A valuable improvement for this solution would be the enabling of us to host dashboards for our customers."
 

Pricing and Cost Advice

"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"It is affordable for us because we have a limited number of users."
"The product is cheap."
"Currently, our ROI is clear and concise decision-making. This timely addition will easily add $15 million to our bottom line in 2017."
"You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
"We have 20 licenses for Qlik Sense, and it is a special license that allows people in the whole company to use it over time. You buy this license and there are some minutes that can be used. For example, for the users that used only a few minutes in a month, we use this license. All the people have the ability to work with Qlik Sense. However, the number of licenses is not the number of users. The number of users that uses Qlik Sense is approximately 35 people."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."
"The solution is worth it."
"Start small with tokens. You can always buy more."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
14%
University
10%
Manufacturing Company
9%
Educational Organization
59%
Financial Services Firm
8%
Computer Software Company
5%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Google Cloud Datalab?
Google Cloud Datalab is very customizable.
What needs improvement with Google Cloud Datalab?
Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...
What is your primary use case for Google Cloud Datalab?
It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What do you like most about Qlik Sense?
The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
 

Also Known As

No data available
QlikSense
 

Learn More

 

Overview

 

Sample Customers

Information Not Available
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
Find out what your peers are saying about Google Cloud Datalab vs. Qlik Sense and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.