Alternatives to Qlik Sense logo

Alternatives to Qlik Sense

QlikView, Tableau, Sisense, Power BI, and Looker are the most popular alternatives and competitors to Qlik Sense.
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What is Qlik Sense and what are its top alternatives?

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.
Qlik Sense is a tool in the Business Intelligence category of a tech stack.

Top Alternatives to Qlik Sense

  • QlikView
    QlikView

    It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making. ...

  • Tableau
    Tableau

    Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. ...

  • Sisense
    Sisense

    It is making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly. ...

  • Power BI
    Power BI

    It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. ...

  • Looker
    Looker

    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. ...

  • Metabase
    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. ...

  • Metabase
    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. ...

  • Dataform
    Dataform

    Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure. ...

Qlik Sense alternatives & related posts

QlikView logo

QlikView

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A Business Intelligence platform for turning data into knowledge
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PROS OF QLIKVIEW
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    CONS OF QLIKVIEW
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      Tableau logo

      Tableau

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      Tableau helps people see and understand data.
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      PROS OF TABLEAU
      • 6
        Capable of visualising billions of rows
      • 1
        Intuitive and easy to learn
      • 1
        Responsive
      CONS OF TABLEAU
      • 2
        Very expensive for small companies

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      Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

      See more
      Shared insights
      on
      TableauTableauQlikQlikPowerBIPowerBI

      Hello everyone,

      My team and I are currently in the process of selecting a Business Intelligence (BI) tool for our actively developing company, which has over 500 employees. We are considering open-source options.

      We are keen to connect with a Head of Analytics or BI Analytics professional who has extensive experience working with any of these systems and is willing to share their insights. Ideally, we would like to speak with someone from companies that have transitioned from proprietary BI tools (such as PowerBI, Qlik, or Tableau) to open-source BI tools, or vice versa.

      If you have any contacts or recommendations for individuals we could reach out to regarding this matter, we would greatly appreciate it. Additionally, if you are personally willing to share your experiences, please feel free to reach out to me directly. Thank you!

      See more
      Sisense logo

      Sisense

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      Simple drag-and-drop and scalable end-to-end BI processes
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      PROS OF SISENSE
        Be the first to leave a pro
        CONS OF SISENSE
          Be the first to leave a con

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          Power BI logo

          Power BI

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          Empower team members to discover insights hidden in your data
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          PROS OF POWER BI
          • 17
            Cross-filtering
          • 2
            Powerful Calculation Engine
          • 2
            Access from anywhere
          • 2
            Intuitive and complete internal ETL
          • 2
            Database visualisation
          • 1
            Azure Based Service
          CONS OF POWER BI
            Be the first to leave a con

            related Power BI posts

            Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

            See more

            Which among the two, Kyvos and Azure Analysis Services, should be used to build a Semantic Layer?

            I have to build a Semantic Layer for the data warehouse platform and use Power BI for visualisation and the data lies in the Azure Managed Instance. I need to analyse the two platforms and find which suits best for the same.

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            Looker logo

            Looker

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            Pioneering the next generation of BI, data discovery & data analytics
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            PROS OF LOOKER
            • 4
              Real time in app customer chat support
            • 4
              GitHub integration
            • 1
              Reduces the barrier of entry to utilizing data
            CONS OF LOOKER
            • 3
              Price

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            Mohan Ramanujam

            We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.

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            Metabase logo

            Metabase

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            An open-source business intelligence tool
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            PROS OF METABASE
            • 61
              Database visualisation
            • 44
              Open Source
            • 41
              Easy setup
            • 36
              Dashboard out of the box
            • 22
              Free
            • 14
              Simple
            • 9
              Support for many dbs
            • 7
              Easy embedding
            • 6
              It's good
            • 6
              Easy
            • 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
            CONS OF METABASE
            • 6
              Harder to setup than similar tools

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            MetabaseMetabaseSupersetSuperset

            Need to create a dashboard with a variety of charts having a good drill-down feature with good UI/UX and easy to manage users and roles with some authentication. I am confused between Superset and Metabase, so please suggest.

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            Metabase logo

            Metabase

            879
            1.2K
            268
            An open-source business intelligence tool
            879
            1.2K
            + 1
            268
            PROS OF METABASE
            • 61
              Database visualisation
            • 44
              Open Source
            • 41
              Easy setup
            • 36
              Dashboard out of the box
            • 22
              Free
            • 14
              Simple
            • 9
              Support for many dbs
            • 7
              Easy embedding
            • 6
              It's good
            • 6
              Easy
            • 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
            CONS OF METABASE
            • 6
              Harder to setup than similar tools

            related Metabase posts

            Shared insights
            on
            MetabaseMetabaseSupersetSuperset

            Need to create a dashboard with a variety of charts having a good drill-down feature with good UI/UX and easy to manage users and roles with some authentication. I am confused between Superset and Metabase, so please suggest.

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            Dataform logo

            Dataform

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            A framework for managing SQL based data operations.
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