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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
16th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (19th)
Qlik Sense
Ranking in Data Visualization
4th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
125
Ranking in other categories
Embedded BI (2nd), AI Data Analysis (15th)
 

Mindshare comparison

As of March 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.2%, up from 0.6% compared to the previous year. The mindshare of Qlik Sense is 5.1%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Qlik Sense5.1%
Google Cloud Datalab1.2%
Other93.7%
Data Visualization
 

Featured Reviews

LJ
System Architect at UST Global España
dashboards are good and data visualization is more meaningful for the end-user
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 forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.
SW
Solution Architect at Predoole Analytics
Unlocks actionable insights through user-friendly analysis features
The self-service capabilities that Qlik Sense offers are significant. They offer natural language processing, allowing users to ask questions in layman language, and Qlik Sense will create charts and narratives automatically. Users can access any dashboard developed in Qlik Sense from familiar portals such as Okta or other company portals through embedding features. The integration with chatbots, particularly Microsoft Teams, allows users to access dashboards and ask questions directly within Teams. The collaboration feature enables users to share analysis by taking snapshots and tagging team members within the Qlik Sense interface, eliminating the need for lengthy emails or screenshots. The storytelling feature allows users to create presentations directly in Qlik Sense using dashboard analysis, making it easier to answer questions during meetings. The subscription feature enables users to receive charts and sheets via email instead of navigating to the dashboard, facilitating monitoring purposes. Qlik Sense offers alerting capabilities where users can set thresholds for KPIs and receive notifications when these thresholds are reached. The platform also includes AI/ML features for predictive modeling through a no-code component, allowing business users to create and deploy AutoML models without depending on data scientists. The Qlik Answers component, featuring generative AI capability, enables users to get answers from unstructured data including Excel, HTML documents, or Microsoft Word documents by creating a knowledge base. The user-friendly interface operates on a drag-and-drop approach, with Qlik Sense suggesting appropriate charts based on selected dimensions and measures. The associative engine capabilities allow data association between tables, implementing selections across related tables. The platform uses a color-coding system (white, gray, and dark gray) to show related, excluded, and unrelated data selections, providing insights beyond traditional BI tools.

Quotes from Members

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

Pros

"All of the features of this product are quite good."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"Google Cloud Datalab is very customizable."
"For me, it has been a stable product."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"This tool not only allows for consumption of the data in a visual way, but also allows the user to modify the question to get new answers."
"Qlik Sense has given us visibility into our data to make informed decisions."
"The self-service capabilities that Qlik Sense offers are significant."
"My organization now has data from disparate systems at their fingertips in a way that lets them get the answers they need when they want it."
"Leveraging and reusability of already existing QlikView assets and knowledge."
"Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the UI point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that."
"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."
"Data-driven decisions are now easier."
 

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 is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"This solution would be improved by adding some Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) components that are easier to interpret and design."
"The product could be improved by implementing a user-feedback ranking system."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
"I would like to see Qlik add more DevOps functionality to their product. Currently, we have to turn to 3rd party products to handle things like Source Control, Code Deployment through environments, etc."
"Power BI is more user-friendly than Qlik Sense."
"The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
 

Pricing and Cost Advice

"The product is cheap."
"It is affordable for us because we have a limited number of users."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"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."
"Know your needs when going into the purchasing decision."
"The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
"Start small with tokens. You can always buy more."
"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."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"The product is expensive compared to one of its competitors."
"It is a little expensive for the Italian market. Normally, Qlik Sense has two types and costs. The medium cost is around 700 euros per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
University
9%
Computer Software Company
7%
Outsourcing Company
7%
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise87
 

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 is your experience regarding pricing and costs for Qlik Sense?
It is not about performance. It is just about how expensive it is to implement.
 

Also Known As

No data available
QlikSense, Qlik Analytics Platform
 

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: February 2026.
883,089 professionals have used our research since 2012.