Apache Superset vs Qlik Analytics Platform comparison

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Apache Logo
3,368 views|1,887 comparisons
100% willing to recommend
Qlik Logo
165 views|126 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Superset and Qlik Analytics Platform 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 Apache Superset vs. Qlik Analytics Platform Report (Updated: March 2024).
768,857 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
"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution.""It is a good visual solution tool in an open-source category.""The solution supports a rich set of charts and enables users to create their own dashboards."

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"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.""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."

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Cons
"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility.""Automation in terms of APIs for creating roles, and giving privileges to the user can be improved.""The platform's reporting feature needs enhancement."

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"One area where Qlik Analytics Platform could be improved is in providing better support for batch processing and traditional ETL workflows.""More freedom for custom visuals and dashboard creation would be an improvement.""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]).""The user experience needs to be improved."

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Pricing and Cost Advice
  • "The price of Apache Superset is less than some of its competitors."
  • "Apache Superset has a three-year licensing model."
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    Questions from the Community
    Top Answer:It is a good visual solution tool in an open-source category.
    Top Answer:Apache Superset has a three-year licensing model. A free version is available from Microsoft. There is a chargeable version for the cloud as well.
    Top Answer:The product needs improvement in terms of DECT filters. At present, we have only a range or time stamp filter. They could provide more options. The platform's reporting feature needs enhancement… more »
    Top Answer:The most valuable feature of Qlik Analytics Platform is its Change Data Capture capability.
    Top Answer:Upfront seems to be the most expensive tool. But when we talk about TCO, then the pricing rate change as this is one "all-inclusive tool" and does not need to add other services/elements to complete… more »
    Top Answer: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… more »
    Ranking
    11th
    out of 70 in Data Visualization
    Views
    3,368
    Comparisons
    1,887
    Reviews
    3
    Average Words per Review
    611
    Rating
    8.0
    25th
    out of 70 in Data Visualization
    Views
    165
    Comparisons
    126
    Reviews
    1
    Average Words per Review
    507
    Rating
    7.0
    Comparisons
    Learn More
    Apache
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    Overview

    Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.

    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.

    Sample Customers
    Information Not Available
    Corporater
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company15%
    Government8%
    Manufacturing Company8%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise61%
    No Data Available
    Buyer's Guide
    Apache Superset vs. Qlik Analytics Platform
    March 2024
    Find out what your peers are saying about Apache Superset vs. Qlik Analytics Platform and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Apache Superset is ranked 11th in Data Visualization with 3 reviews while Qlik Analytics Platform is ranked 25th in Data Visualization with 4 reviews. Apache Superset is rated 8.0, while Qlik Analytics Platform is rated 8.4. The top reviewer of Apache Superset writes "Has some great features and supports a rich set of charts". On the other hand, the top reviewer of Qlik Analytics Platform writes "An easy-to-deploy solution with a variety of use cases and excellent reporting features". Apache Superset is most compared with Tableau, Qlik Sense, Splunk Enterprise Platform, Sisense and Oracle Analytics Cloud, whereas Qlik Analytics Platform is most compared with Qlik Sense. See our Apache Superset vs. Qlik Analytics Platform report.

    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.