Google Cloud Datalab vs Qlik Sense comparison

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Executive Summary

We performed a comparison between Google Cloud Datalab and Qlik Sense based on real PeerSpot user reviews.

Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Google Cloud Datalab vs. Qlik Sense Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Google Cloud Datalab is very customizable.""The infrastructure is highly reliable and efficient, contributing to a positive experience.""All of the features of this product are quite good.""In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud.""The APIs are valuable."

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"The data is incredibly easy to share with colleagues.""The solution is scalable.""The most valuable feature of QlikSense is that you can capture the data without modifying it and then perform the ETL (extract, transform, and load) process.""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.""We have had an easy time supplying content to our customers.""Qlik Sense makes it very easy to build interactive presentations for meetings.""The Nprinting is useful.""For a deployment scenario, Qlik Sense is also very easy to use. I can start development from any platform, on-premise or cloud, and continue from where I left off."

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Cons
"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 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.""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."

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"I would like to have the ability to better customize the visuals including changing fonts, sizing, colors, axes, and titles.""Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups.""There is room for improvement in the learning curve when getting started, but training resources have been growing.""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.""Integrated maps should become part of the Qlik Sense, as opposed to buying an additional module just to power the BI, which has it built-in natively within the application.""They need to make security rules to access applications and data security easier and customizable.""My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance.""Right now, it is complex and you have to understand the data model prior to analyzing it, so basically I would like to see an integration with Excel in the future."

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Pricing and Cost Advice
  • "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 product is cheap."
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  • "The solution is worth it."
  • "Understand the break over price point for switching to the Enterprise license."
  • "Licensing could be cheaper."
  • "Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."
  • "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."
  • "Currently, our ROI is clear and concise decision-making. This timely addition will easily add $15 million to our bottom line in 2017."
  • "You will spend more time on educating your staff than licensing the product."
  • More Qlik Sense Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The product must be made more user-friendly. Sometimes, we have to go a roundabout way and read a lot of instruction that isn't necessary. Generally, if people use the information, they have some… more »
    Top Answer:The solution is really useful. It’s an easy way to get information. I use it as a reference for analytics, sourcing information, and research.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
    Ranking
    20th
    out of 70 in Data Visualization
    Views
    274
    Comparisons
    245
    Reviews
    2
    Average Words per Review
    631
    Rating
    8.0
    2nd
    out of 70 in Data Visualization
    Views
    5,738
    Comparisons
    3,545
    Reviews
    22
    Average Words per Review
    563
    Rating
    8.6
    Comparisons
    Also Known As
    QlikSense
    Learn More
    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.

    Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.

    Benefits of Qlik Sense

    Some of the benefits of using Qlik Sense include:

    • Easily manipulate data: Qlik Sense allows users to easily combine and otherwise manipulate their system’s data. It allows them to create interactive visual representations of your datasets. The many different ways that the data can be represented offer many potential options for how to analyze the data. These choices enable users to easily gain critical insights.
    • Easily automate alerts and routine actions: Qlik Sense enables users to keep a close eye on their data. Automatic alerts that will notify them if their data changes in any way. Users don’t need expert knowledge of coding to create automated data-driven events. Users of all experience levels can take advantage of this benefit. Qlik Sense enables routine actions to be automated when necessary data insights will spur the system to take action. This combination of analytics and other tools empower users to take charge of their data.
    • Customize reporting: Users can set Qlik Sense to generate custom reports. These reports can also be customized to be shared by way of one of several methods, allowing users to control who sees their data and what they see.

    Reviews from Real Users

    Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.

    Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. 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 user interface 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.”

    Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”

    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
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Educational Organization12%
    Computer Software Company11%
    Manufacturing Company9%
    REVIEWERS
    Financial Services Firm19%
    Retailer10%
    Manufacturing Company10%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Educational Organization49%
    Financial Services Firm10%
    Computer Software Company6%
    Manufacturing Company5%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    REVIEWERS
    Small Business20%
    Midsize Enterprise27%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise53%
    Large Enterprise37%
    Buyer's Guide
    Google Cloud Datalab vs. Qlik Sense
    March 2024
    Find out what your peers are saying about Google Cloud Datalab vs. Qlik Sense and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. Google Cloud Datalab is rated 7.6, while Qlik Sense is rated 8.6. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, Domino Data Science Platform and Amazon SageMaker, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx. See our Google Cloud Datalab vs. Qlik Sense report.

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    We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.