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Google Cloud Datalab vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Cloud Datalab
Ranking in Data Visualization
19th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
Data Science Platforms (15th)
Qlik Sense
Ranking in Data Visualization
2nd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
115
Ranking in other categories
Embedded BI (2nd)
 

Mindshare comparison

As of November 2024, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.5%, down from 0.5% compared to the previous year. The mindshare of Qlik Sense is 8.0%, down from 10.4% 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.
Jennifer Sinn - PeerSpot reviewer
Easy to use with robust reporting and great visualizations
I am not sure what improvements could be made. Qlik Sense is very user-friendly. The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker. This feature would also make it easier for our business users when they want to create an app since they wouldn't need to worry about adding all the needed data sources to it, it they were already there, and they could just press load.

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."
"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."
"Google Cloud Datalab is very customizable."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"Qlik Sense is essentially a web-based tool even though it's on-prem – you're working off an HTML page – so it's pretty quick. Your processing speed does not matter because you're using a lot of stuff through the web. That's great because it brings down the cost in regards to hardware."
"Showing a miniature version of the chart if the case chart is bigger than the screen resolution allows us to have full context at all times."
"This solution has improved our organization by making our analysis results available to customers."
"Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."
"The most valuable features are that Qlik has a very strong ATL available and the capacity to handle large volumes of data."
"Qlik Sense helps us increase our organization's customer relationships and brings in more projects."
"The tool's data analysis is useful to help out the teams across the globe and to track their work."
"Qlik DataMarket"
 

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."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"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."
"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."
"Report generation without the need for NPrinting, which has limited capabilities anyway, would be an improvement."
"Performing data transformations required a lot of programming, which is something that should be made easier."
"From the initial setup of the product we had some struggles getting connections to some of our databases to function, this indicated that some of the data extract drivers can be improved and addition of some of the older database engines need to be added in Qlik Sense."
"They need to make security rules to access applications and data security easier and customizable."
"Mostly when it comes to the loading of the data and reload times of the reports, it could be better."
"The on-demand report generation button in Qlik Sense currently doesn't work if NPrinting requires Okta verification, which our company uses."
"What needs improvement in Qlik Sense is the support. It could be faster. My organization had already talked to Qlik management and has escalated multiple times, so management is looking into the support."
"Needs more bookmarking and a data load screen."
 

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."
"The license mechanism of Qlik is quite complicated and not exchangeable. Such as 2016, they charge licenses by token, 1500$ for a token / 1 user. 2018: they change to 2 kinds of licenses: professional 1500$ / user, analyzer 800$ / user. 2019: they support subscription with 70$ Monthly for professional, 40$ monthly for analyzers, but for those you’re using perpetual licenses, they don't support acquiring more subscription licenses. The maintenance fee yearly are also high, 20% of the perpetual license."
"You will spend more time on educating your staff than licensing the product."
"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."
"Costs are a little high on the license/token side. However, if you look at the TCO, it is not too bad, particularly against Power BI."
"QlikSense offers a Hybrid environment architecture, which is very cost effective based on where the enterprise data resides."
"Qlik Sense pricing and licensing is like that of QlikView. It's on the high side for a small company, but it’s competitive among its peers. Use of licenses (referred to as tokens) is a bit confusing. There is a login access pass for infrequent or anonymous access."
"I'm not able to reveal the licensing cost for Qlik Sense, but because it was a huge deal, the cost was less than the usual cost. The license wasn't that costly. It was the infrastructure that was very costly."
"The product is expensive compared to one of its competitors."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
14%
University
10%
Manufacturing Company
8%
Educational Organization
56%
Financial Services Firm
9%
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: October 2024.
816,406 professionals have used our research since 2012.