Alternatives to QlikView logo

Alternatives to QlikView

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

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

Top Alternatives to QlikView

  • 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. ...

  • Qlik Sense
    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. ...

  • 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. ...

  • 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. ...

  • 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. ...

  • Chartio
    Chartio

    Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data. ...

  • Superset
    Superset

    Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought. ...

QlikView alternatives & related posts

Tableau logo

Tableau

1.2K
1.3K
8
Tableau helps people see and understand data.
1.2K
1.3K
+ 1
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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.

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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!

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Qlik Sense logo

Qlik Sense

118
97
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A business intelligence and visual analytics platform
118
97
+ 1
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PROS OF QLIK SENSE
    Be the first to leave a pro
    CONS OF QLIK SENSE
      Be the first to leave a con

      related Qlik Sense posts

      Power BI logo

      Power BI

      901
      905
      26
      Empower team members to discover insights hidden in your data
      901
      905
      + 1
      26
      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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        Metabase logo

        Metabase

        875
        1.2K
        271
        An open-source business intelligence tool
        875
        1.2K
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        271
        PROS OF METABASE
        • 62
          Database visualisation
        • 45
          Open Source
        • 41
          Easy setup
        • 36
          Dashboard out of the box
        • 23
          Free
        • 14
          Simple
        • 9
          Support for many dbs
        • 7
          Easy embedding
        • 6
          Easy
        • 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
        CONS OF METABASE
        • 7
          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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        Metabase logo

        Metabase

        875
        1.2K
        271
        An open-source business intelligence tool
        875
        1.2K
        + 1
        271
        PROS OF METABASE
        • 62
          Database visualisation
        • 45
          Open Source
        • 41
          Easy setup
        • 36
          Dashboard out of the box
        • 23
          Free
        • 14
          Simple
        • 9
          Support for many dbs
        • 7
          Easy embedding
        • 6
          Easy
        • 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
        CONS OF METABASE
        • 7
          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.

        See more
        Looker logo

        Looker

        585
        630
        9
        Pioneering the next generation of BI, data discovery & data analytics
        585
        630
        + 1
        9
        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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        Chartio logo

        Chartio

        418
        116
        6
        A powerful Business Intelligence tool anyone can use
        418
        116
        + 1
        6
        PROS OF CHARTIO
        • 2
          Great UI
        • 2
          Affordable for a BI solution
        • 2
          Join multiple databases
        CONS OF CHARTIO
          Be the first to leave a con

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          Superset logo

          Superset

          391
          992
          45
          Data exploration and visualization platform, by Airbnb
          391
          992
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          PROS OF SUPERSET
          • 13
            Awesome interactive filtering
          • 9
            Free
          • 6
            Wide SQL database support
          • 6
            Shareable & editable dashboards
          • 5
            Great for data collaborating on data exploration
          • 3
            User & Role Management
          • 3
            Easy to share charts & dasboards
          CONS OF SUPERSET
          • 4
            Link diff db together "Data Modeling "
          • 3
            It is difficult to install on the server
          • 3
            Ugly GUI

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          Julien DeFrance
          Principal Software Engineer at Tophatter · | 16 upvotes · 3.1M views

          Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

          I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

          For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

          Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

          Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

          Future improvements / technology decisions included:

          Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

          As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

          One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

          See more
          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.

          See more