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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
18th
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
118
Ranking in other categories
Embedded BI (2nd)
 

Mindshare comparison

As of May 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. The mindshare of Qlik Sense is 7.4%, down from 9.8% 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.
Vishal_Goyal - PeerSpot reviewer
In-memory data storage boosts performance
The advantages compared to other BI tools show architectural differences. The main feature is that it keeps all the data in memory. It doesn't retrieve the data from data sources when I need it on the dashboard; instead, it quickly provides the desired data, making it very fast compared to other BI tools. The ROI is very high using Qlik Sense. It offers many benefits of BI. It is flexible from a developer's point of view, allowing me to accomplish many tasks compared to other BI tools. From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.

Quotes from Members

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

Pros

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"For me, it has been a stable product."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
"The APIs are valuable."
"Google Cloud Datalab is very customizable."
"There are a lot of features available in this solution, it has been very easy to use. We have found it to be less complex and user-friendly compared to other solutions we have used."
"Qlik Sense has helped us in getting all inventory details in real-time ready for our sales reps to order and fulfill our inventory based on demand."
"The Qlik Sense cloud insights advisor helps our business users to get the answers to their data questions so that they do not have to rely on IT/BI resources every time they have some data request."
"The solution's technical support is good."
"The visualizations are good and keep improving."
"Qlik Sense brings in the concept of shared libraries where one user can create custom dimensions (even with drill-down functionality), measures, and even visualizations and save it to the "Master Items," from which the other users can simply drag and drop to use it for their analysis."
"We can easily and quickly deploy new dashboards that reach a wide audience and any changes get reflected almost instantaneously for the users."
"The most valuable features are that Qlik has a very strong ATL available and the capacity to handle large volumes of data."
 

Cons

"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."
"The product must be made more user-friendly."
"The interface should be more user-friendly."
"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"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."
"There are some tools like Alteryx, which are used for data preparation. These features can be built into Qlik to make the process smoother."
"Dates. My goodness, working with dates in set analysis can be a nightmare! Much room for improvement."
"The product could be improved by implementing a user-feedback ranking system."
"Qlik has a fast learning curve due to great online training resources (Qlik continuous classroom), but those are lacking the advance features like building extensions and using the API."
"More focus needs to be on data streaming/real-time data reporting."
"I would like for it to be more of a plug and play with all of the tools and sources. It would make it much easier to use."
"Qlik Sense is working very well on going to low code and development. They are trying to make their environment more user-friendly. However, the training is not free. When you want to learn more about the tool, sometimes you need to pay for the training. This does not make sense to me because training should be free because the more you learn about the tool the more you use it and the more you are loyal to the company and want to continue usage."
"We need more types of visualizations."
 

Pricing and Cost Advice

"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"The product is cheap."
"It is affordable for us because we have a limited number of users."
"Licensing can start to get expensive, but compared to other tools in this space it is about average."
"Start small with tokens. You can always buy more."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
"You will spend more time on educating your staff than licensing the product."
"Qlik Sense and its pricing model can follow any scalability."
"The new licensing model is much better."
"The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report."
"Qlik Sense is pretty good in terms of price."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
University
12%
Computer Software Company
10%
Manufacturing Company
7%
Educational Organization
60%
Financial Services Firm
8%
Computer Software Company
5%
Manufacturing Company
4%
 

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
 

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: April 2025.
849,686 professionals have used our research since 2012.