Google Cloud Datalab vs Qlik Analytics Platform comparison

Google and Qlik are both solutions in the Data Visualization category. Google is ranked #19 with an average rating of 7.8, while Qlik is ranked #20 with an average rating of 7.0. Google holds a 0.7% mindshare in DV, compared to Qlik’s 1.1% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

740 Views
163 Comparison Views

80% willing to recommend

Qlik Analytics Platform

Read 4 Qlik Analytics Platform reviews

289 Views
286 Comparison Views

100% willing to recommend

Google Cloud Datalab

Qlik Analytics Platform

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Executive SummaryUpdated on Jan 1, 2025

Google Cloud Datalab and Qlik Analytics Platform compete in the data analytics category. Google Cloud Datalab demonstrates an advantage in integration with Google's ecosystem, while Qlik Analytics Platform excels in data visualization capabilities.

Features: Google Cloud Datalab offers seamless integration with Google Cloud services, powerful analytics tools, and machine learning capabilities tailored for data scientists. Qlik Analytics Platform provides advanced data visualization, robust data exploration tools, and an intuitive user interface for interactive analysis.

Room for Improvement: Google Cloud Datalab could enhance its data visualization options, offer more flexible deployment configurations, and improve user interface customization. Qlik Analytics Platform may benefit from better integration with non-proprietary data sources, enhanced scalability options, and improved machine learning features.

Ease of Deployment and Customer Service: Google Cloud Datalab facilitates streamlined deployment via cloud infrastructure with dependable support from Google. Qlik Analytics Platform supports both on-premises and cloud deployments, offering customized service for tailored solutions.

Pricing and ROI: Google Cloud Datalab offers a pay-as-you-go model with generally lower setup costs, appealing to those invested in Google Cloud. Qlik Analytics Platform might have higher initial costs but provides significant ROI with its comprehensive analytics and advanced features.

To learn more, read our detailed Google Cloud Datalab vs. Qlik Analytics Platform Report (Updated: July 2025).

Buyer's Guide

Google Cloud Datalab vs. Qlik Analytics Platform

July 2025

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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

19th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (18th)

Qlik Analytics Platform

Ranking in Data Visualization

20th

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.7%, up from 0.5% compared to the previous year. The mindshare of Qlik Analytics Platform is 1.1%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

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.

Read full review

FerranGarcia

Solution Architect at Red Hat

Offers a user-friendly interface and a variety of data visualization tools

My advice to new users considering Qlik Analytics Platform is to carefully assess their data project needs. While Qlik is a solid on-premises platform, the trend in the industry is moving toward cloud-based data solutions, including data warehousing and integration. Cloud data warehouses are often more modern, feature-rich, and scalable. If you are planning to create a new data warehouse in the cloud, it might make sense to also opt for cloud-native integration tools. The tech world is shifting towards cloud-native solutions, which better match the direction most global data projects are heading. Overall, I would rate Qlik Analytics Platform as a seven out of ten.

Read full review

Quotes from Members

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

Pros

"For me, it has been a stable product."

"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."

"The APIs are valuable."

"All of the features of this product are quite good."

"Google Cloud Datalab is very customizable."

"Qlik offers you all the features needed to extract the raw data from the source systems including an ETL layer to transform the data and to connect the multiple data sources into one data model, easy data sharing, security and scaling features, dashboards, and report functionality to share your data with your end-users."

"Reporting is a valuable feature of the solution."

"The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability."

"It is a great platform for third party extensions, has an open API, and there are no black boxes."

Cons

"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."

"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."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"The user experience needs to be improved."

"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows."

"It would be great if decentralized teams would have more features to manage the metadata on the dashboards, setup the specific user access rights and rules to govern incoming and outgoing data sets from/to other teams, and more features to separate the different data process layers (e.g. extraction, transformation [data quality, business rules])."

"More freedom for custom visuals and dashboard creation would be an improvement."

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."

"It is the most expensive tool."

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

University

Government

Computer Software Company

Financial Services Firm

17%

Healthcare Company

Manufacturing Company

Government

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.

See all answers

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...

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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 ...

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What do you like most about Qlik Analytics Platform?

The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability.

See all answers

What needs improvement with Qlik Analytics Platform?

One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows. While it excels in real-time replication, it lacks robust...

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What advice do you have for others considering Qlik Analytics Platform?

See all answers

Comparisons

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Compared 32% of the time

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Compared 24% of the time

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Compared 19% of the time

KNIME Business Hub vs Google Cloud Datalab

Compared 13% of the time

Oracle Analytics Cloud vs Google Cloud Datalab

Compared 12% of the time

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Apache Superset vs Qlik Analytics Platform

Compared 41% of the time

Qlik Sense vs Qlik Analytics Platform

Compared 31% of the time

Adaptive Insights vs Qlik Analytics Platform

Compared 28% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

August 2025

Download Google Cloud Datalab product report

Buyer's Guide

Data Visualization

July 2025

Download Qlik Analytics Platform product report

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

Part of the Qlik Sense family of products, the Qlik Analytics Platform puts the power of the Qlik Associative Engine and visualizations in the hands of application and web developers through powerful, open and modern API’s, allowing you to see the whole story within your data.

Qlik

Sample Customers

Information Not Available

Corporater

Buyer's Guide

Google Cloud Datalab vs. Qlik Analytics Platform

July 2025

Free Report: Google Cloud Datalab vs. Qlik Analytics Platform

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