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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
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (17th)
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 December 2024, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.5%, down from 0.6% compared to the previous year. The mindshare of Qlik Sense is 8.0%, down from 10.6% 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.
Bruno Preti - PeerSpot reviewer
Provides ability to analyze data independently without relying on IT for every query
I would rate the scalability a ten out of ten. You can start with one user and easily scale up to even a thousand without limitations. We mainly have medium and enterprise, though we also have some small clients. But in the Italian market, "small" and "medium" have different meanings than other markets. A typical Italian medium company might only have 10-15 users, while in other markets, this would be considered small.

Quotes from Members

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

Pros

"The APIs are valuable."
"All of the features of this product are quite good."
"For me, it has been a stable product."
"Google Cloud Datalab is very customizable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"The solution is scalable."
"All the visualizations have been so valuable."
"All the necessary information is available to everyone in real time."
"What I found most valuable in Qlik Sense is its flexibility. It's a very flexible tool, and it has a lot of capabilities compared to Tableau and Power BI. In Qlik Sense, you can take data from any of the systems, and you can do data transformation, prepare the data, then present your KPIs. Data transformation isn't present in Tableau, Power BI, and other tools. In Qlik Sense, you're able to get the data and directly present that data. The presentation layer is also very good in Qlik Sense. My company is very happy with this tool."
"Qlik Sense provides features to manage and govern data, ensuring data security, accuracy, and regulation compliance."
"The number of visualizations that are present in Qlik is very useful for our developers to help our business partners tell stories with their data. Qlik continues to add to and enhance these visualizations with each release. We are also very excited to leverage the integration between Qlik Sense and Qlik Catalog as we roll that out soon."
"It connects very simply​ to data sources."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
 

Cons

"The interface should be 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."
"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."
"The product must be made more user-friendly."
"The security rules should be made easier to use."
"Reload time is a limit since everyone wants real-time data."
"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."
"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 options for the layout."
"They should generally focus more on the evolution of current capabilities rather than doing everything but only at 50% effectiveness."
"The QMC needs more work. Some of the features should be available directly from the hub. Too many duplicates/publish. Intelli-sense when loading a stored qvd would help so much with remembering column names. The pop-up windows are too small when working in the QMC."
"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."
 

Pricing and Cost Advice

"It is affordable for us because we have a limited number of users."
"The product is cheap."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"QlikSense offers a Hybrid environment architecture, which is very cost effective based on where the enterprise data resides."
"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."
"Understand the break over price point for switching to the Enterprise license."
"Licensing can start to get expensive, but compared to other tools in this space it is about average."
"The new licensing model is much better."
"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."
"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."
"I would rate Qlik's pricing four out of five."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
13%
University
10%
Manufacturing Company
8%
Educational Organization
58%
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: December 2024.
824,053 professionals have used our research since 2012.