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Open Source Qlik Alternatives

A curated collection of the 4 best open source alternatives to Qlik.

The best open source alternative to Qlik is Metabase. If that doesn't suit you, we've compiled a ranked list of other open source Qlik alternatives to help you find a suitable replacement. Other interesting open source alternatives to Qlik are: Redash, DataLens, and Infinite.

Qlik alternatives are mainly BI Platforms but may also be Data Visualization Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Qlik.

Piotr Kulpinski's profile

Written by Piotr Kulpinski

Open-source business intelligence platform for data exploration, visualization, and sharing. Empowers teams to make data-driven decisions effortlessly.

Screenshot of Metabase website

Metabase is an open-source business intelligence and analytics platform that transforms how organizations interact with their data. It offers a seamless blend of power and simplicity, making it an ideal choice for companies of all sizes.

Key benefits of Metabase include:

  • Intuitive Interface: Easy-to-use dashboard creation and data exploration tools, enabling users of all skill levels to gain insights quickly.
  • Versatile Connectivity: Supports a wide range of databases and data sources, allowing you to centralize your data analysis efforts.
  • Powerful Visualization: Create stunning charts, graphs, and interactive dashboards to communicate complex data effectively.
  • Collaborative Features: Share insights across your organization with ease, fostering a data-driven culture.
  • Customizable and Extensible: Tailor Metabase to your specific needs with custom visualizations and integrations.
  • Secure and Scalable: Enterprise-grade security features and the ability to handle large datasets make Metabase suitable for growing organizations.
  • Active Community: Benefit from a vibrant open-source community, regular updates, and extensive documentation.

Whether you're a small startup or a large enterprise, Metabase provides the tools you need to turn your data into actionable insights, driving informed decision-making across your organization.

Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.

Redash is an open-source data visualization and analytics platform that helps teams make sense of their data through SQL queries and interactive dashboards.

Screenshot of Redash website

Redash is a powerful, open-source data visualization and analytics platform designed to help teams connect, query, visualize, and share their data effectively. Here's what makes Redash stand out:

  1. Versatile Data Connectivity:

    • Supports a wide range of data sources, including SQL, NoSQL, Big Data, and APIs
    • Allows querying from multiple sources to answer complex questions
  2. Powerful Query Editor:

    • Intuitive SQL editor with schema browsing and click-to-insert functionality
    • Ability to create and reuse query snippets for efficiency
  3. Interactive Dashboards:

    • Drag-and-drop interface for creating customizable dashboards
    • Resize and arrange visualizations to suit your needs
    • Schedule automatic refreshes from data sources
  4. Collaboration and Sharing:

    • Share dashboards with team members or make them public
    • User management features for access control
  5. Visualizations and Alerts:

    • Create various types of visualizations to represent your data
    • Set up alerts to stay informed about important data changes
  6. Open-Source Advantage:

    • Customize and add features to suit your specific needs
    • No vendor lock-in
    • Active community for support and contributions
  7. API Access:

    • Integrate Redash with other tools and services using its API

Redash is trusted by data-driven companies to make sense of their information, enabling better decision-making and deeper understanding of their data. Whether you're a small startup or a large enterprise, Redash provides the tools you need to turn your data into actionable insights.

Modern analytics system featuring user-friendly interface, native integrations, and unlimited scalability. Build, visualize, and share data insights across your organization.

Screenshot of DataLens website

DataLens is a robust business intelligence platform that enables organizations to analyze and visualize data at any scale. As an open-source solution, it offers complete independence and flexibility while benefiting from both Yandex's expertise and community contributions.

The platform excels with its comprehensive feature set, including:

  • Multi-source data access and modeling
  • Advanced analytical calculations
  • Interactive charts and visualizations
  • Customizable dashboards
  • Enterprise-grade access management

Perfect for diverse users, from developers wanting to enhance core functionality to businesses requiring customized analytics solutions. The system's architecture allows deployment on any infrastructure while maintaining seamless integration with other Yandex open-source products.

DataLens has proven its reliability through widespread adoption by thousands of companies, from agile startups to large enterprises. Its open-source nature ensures transparency, encourages community participation, and enables unlimited customization to meet specific business requirements.

Self-hosted runtime that pulls GA4, Meta Ads, PostHog, Stripe, and X into a local-first data layer you control, with no data leaving your machine.

Screenshot of Infinite website

Infinite is a self-hosted runtime for marketers and founders who want all their data in one place without handing it to another SaaS platform. It connects GA4, Meta Ads, PostHog, Stripe, and X, then stores everything locally so you query it directly.

The core idea is ownership. Most marketing analytics tools aggregate your data on their servers, charge for access, and limit what you can do with it. Infinite flips that: the data layer lives on your machine, you control the schema, and nothing is sent to a third party.

Key integrations out of the box:

  • GA4 for web analytics and traffic attribution
  • Meta Ads for paid social spend and performance
  • PostHog for product analytics and user behavior
  • Stripe for revenue and subscription data
  • X for social engagement metrics

Bringing these sources together locally means you can correlate ad spend with actual revenue, or tie PostHog product events to acquisition channels, without exporting CSVs or stitching together dashboards across five tabs.

It's built for early-stage startups that already use several of these tools but lack a unified view. The self-hosted, MIT-licensed model means no per-seat pricing and no vendor lock-in. If you're already running something like Beam for data pipelines, Infinite targets a similar philosophy: your infrastructure, your rules.

The local-first architecture is the clearest differentiator. Queries run against data on your own hardware, which matters for teams handling sensitive revenue or user data under privacy constraints.

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