Google Cloud Datalab vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Cloud Datalab
Ranking in Data Visualization
20th
Average Rating
7.6
Number of Reviews
5
Ranking in other categories
Data Science Platforms (16th)
Qlik Sense
Ranking in Data Visualization
2nd
Average Rating
8.6
Number of Reviews
114
Ranking in other categories
Embedded BI (2nd)
 

Market share comparison

As of June 2024, in the Data Visualization category, the market share of Google Cloud Datalab is 0.4% and it decreased by 18.6% compared to the previous year. The market share of Qlik Sense is 8.4% and it decreased by 35.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
Unique Categories:
Data Science Platforms
0.9%
Embedded BI
14.7%
 

Featured Reviews

Nilesh Gode - PeerSpot reviewer
Nov 1, 2023
Easy to setup, stable and easy to design data pipelines
Currently, we're currently provisioning some ML models into Vertex AI. The sales team will likely start using the other resources in a month or two.  When deploying the model on-premises, with a global team, we faced time lag issues. On Google Cloud, there is a facility to select different…
Fernando Tonial - PeerSpot reviewer
Mar 6, 2023
Great Enhanced collaboration and sharing with useful advanced analytics
I'd like to see the following improvements: Improved Data Preparation and integration. Qlik Sense could include additional features for data preparation and integration, making it easier for users to clean, transform, and integrate data from various sources. Advanced Analytics and Machine Learning. Qlik Sense could include more advanced analytics and machine learning features, allowing users to build predictive models and perform advanced statistical analysis on their data. Enhanced Collaboration and Sharing. Qlik Sense could improve collaboration features, such as real-time collaboration and commenting on visualizations. It could also improve sharing capabilities, such as embedding visualizations and reports into external websites or applications. Mobile Optimization. Qlik Sense could include more mobile-optimized features, allowing users to access and analyze data on-the-go, on any device. Natural Language Processing. Qlik Sense could incorporate natural language processing (NLP) technology, allowing users to ask questions and receive answers in natural language, making data analysis more accessible to non-technical users. Improved Security and Governance. Qlik Sense could include additional features for data security and governance, such as more granular access controls, audit trails, and compliance reporting.

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."
"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."
"End users can adjust their analysis with a few simple clicks."
"The most valuable feature is the drag-and-drop reporting."
"Placing buttons on my sheets creates a unique user experience and clears up clutter at the same time."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"The changes in a dashboard are very easy."
"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."
"Business users have been able to use the BI self-serve model."
"The most valuable features of Qlik Sense are the integration and panel for reports. The integration is very fast even though we process a lot of information."
 

Cons

"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."
"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."
"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."
"More focus needs to be on data streaming/real-time data reporting."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"Needs more bookmarking and a data load screen."
"The one thing I would probably try to add is some kind of tutorial since the tool has a lot of options to work with, and for someone who is just starting and does not have any prior experience, it can be a little overwhelming."
"Even though a huge set of learning material is available, anyone starting his/her journey on learning the software doesn't even know where to start it. The so-called Continous Classroom service is not cheap, but there are many free tutorials, they are not sorted or enlisted adequately though."
"The only thing I would say that comes up is that sometimes it can be a bit buggy."
"We want the next version of this solution to be cloud-based so that each user can access it from anywhere in the world with their phone, tablet, or computer without a VPN connection."
"More options for the layout."
 

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."
"For on-premise enterprise users, a number of additional features come at a premium cost."
"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."
"Licensing can start to get expensive, but compared to other tools in this space it is about average."
"I believe pricing is similar to other products in the same category, if you have it on-premise."
"The solution is worth it."
"Qlik Sense and its pricing model can follow any scalability."
"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."
"Licensing could be cheaper."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
10%
Retailer
7%
Educational Organization
50%
Financial Services Firm
10%
Computer Software Company
6%
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?
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 characteristic...
What is your primary use case for Google Cloud Datalab?
Our main use cases involve transferring workloads from AWS and Univision to Google Cloud Datalab. Before coming to the setting we utilised Google Datalab for looker and handling separated tables fo...
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: June 2024.
787,061 professionals have used our research since 2012.