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Google Cloud Datalab vs Qlik Sense comparison

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3,551 views|3,129 comparisons
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17,434 views|12,806 comparisons
Featured Review
Buyer's Guide
Data Visualization
April 2022
Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: April 2022.
596,970 professionals have used our research since 2012.
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Pricing and Cost Advice
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  • "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."
  • "For on-premise enterprise users, a number of additional features come at a premium cost."
  • "I would rate Qlik's pricing four out of five."
  • More Qlik Sense Pricing and Cost Advice →

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    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 extensibility of the Platform with either internally created extensions or the use of third-party provided items really opens the platform up.
    Ranking
    14th
    out of 58 in Data Visualization
    Views
    3,551
    Comparisons
    3,129
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    3rd
    out of 58 in Data Visualization
    Views
    17,434
    Comparisons
    12,806
    Reviews
    22
    Average Words per Review
    515
    Rating
    9.0
    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.”

    Offer
    Learn more about Google Cloud Datalab
    Learn more about Qlik Sense
    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
    Comms Service Provider24%
    Computer Software Company17%
    Financial Services Firm13%
    Retailer7%
    REVIEWERS
    Financial Services Firm19%
    Manufacturing Company11%
    Retailer11%
    Healthcare Company10%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider18%
    Financial Services Firm11%
    Government7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business17%
    Midsize Enterprise28%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business7%
    Midsize Enterprise11%
    Large Enterprise82%
    Buyer's Guide
    Data Visualization
    April 2022
    Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: April 2022.
    596,970 professionals have used our research since 2012.

    Google Cloud Datalab is ranked 14th in Data Visualization while Qlik Sense is ranked 3rd in Data Visualization with 24 reviews. Google Cloud Datalab is rated 0.0, while Qlik Sense is rated 9.0. On the other hand, the top reviewer of Qlik Sense writes "Great UI, good data parsing capabilities and very good scalability". Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Cloudera Data Science Workbench and Amazon Comprehend, whereas Qlik Sense is most compared with Tableau, Alteryx, QlikView, IBM Cognos and Amazon QuickSight.

    See our list of best Data Visualization vendors.

    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.