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Metabase vs Qlik Sense: What are the differences?


Metabase and Qlik Sense are both popular business intelligence tools used for data visualization and reporting. While they serve the same purpose, there are key differences between the two platforms that make them unique in their own ways.

  1. User Interface: Metabase is known for its sleek and user-friendly interface that focuses on simplicity and ease of use, making it suitable for beginners and non-technical users. In contrast, Qlik Sense offers a more sophisticated and feature-rich user interface with powerful customization options, catering to advanced users and data analysts who require more flexibility in their data analysis.

  2. Open Source vs. Proprietary Software: Metabase is an open-source BI tool, which means it is free to use and allows users to modify and customize the code according to their needs. On the other hand, Qlik Sense is proprietary software with licensing fees, offering dedicated support and regular updates from the vendor.

  3. Data Connectivity: Qlik Sense provides a wide range of data connectivity options, allowing users to connect to various data sources seamlessly. In comparison, Metabase has limited data connectivity options out of the box, but users can extend its functionality through plugins and custom configurations.

  4. Collaboration and Sharing: Qlik Sense offers robust collaboration features, enabling multiple users to work on the same dashboard concurrently, share insights, and comment on data visualizations in real-time. Metabase, while allowing sharing of dashboards and reports, lacks advanced collaboration tools and real-time interaction capabilities.

  5. Ad Hoc Querying: Qlik Sense excels in ad hoc querying and exploration, allowing users to dynamically analyze and visualize data on the fly without predefined reports or dashboards. Metabase, while providing some ad hoc querying capabilities, may not be as intuitive or powerful as Qlik Sense in this aspect.

  6. Deployment Options: Qlik Sense offers both on-premises and cloud-based deployment options, giving users flexibility in choosing the deployment model that suits their requirements. Metabase primarily focuses on self-hosted deployments, although there are third-party cloud hosting options available.

In Summary, Metabase and Qlik Sense differ in terms of user interface, open-source vs. proprietary software, data connectivity, collaboration and sharing capabilities, ad hoc querying features, and deployment options.

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Pros of Metabase
Pros of Qlik Sense
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
  • 14
  • 9
    Support for many dbs
  • 7
    Easy embedding
  • 6
  • 6
    It's good
  • 5
    AGPL : wont help with adoption but depends on your goal
  • 5
    BI doesn't get easier than that
  • 4
    Google analytics integration
  • 4
    Multiple integrations
  • 4
    Easy set up
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    Cons of Metabase
    Cons of Qlik Sense
    • 7
      Harder to setup than similar tools
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      - No public GitHub repository available -

      What is Metabase?

      It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

      What is Qlik Sense?

      It helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction.

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      What are some alternatives to Metabase and Qlik Sense?
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      We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
      Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.
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