StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Business Intelligence
  4. Business Intelligence
  5. QlikView vs Superset

QlikView vs Superset

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Superset
Superset
Stacks420
Followers1.0K
Votes45

QlikView vs Superset: What are the differences?

Introduction

QlikView and Superset are two popular data visualization and business intelligence tools used to analyze and present data. While both tools have similar goals, there are several key differences that set them apart.

  1. Data Exploration and Analysis: QlikView provides a guided and associative approach to data analysis, allowing users to explore data in an intuitive and interactive manner. It offers powerful data discovery capabilities, including associative search and filtering, to help users uncover hidden insights. On the other hand, Superset focuses more on providing a flexible and customizable interface for exploring and visualizing data. It offers a wide range of visualization options and can handle large datasets efficiently.

  2. User Interface and Design: QlikView offers a rich and visually appealing user interface, with drag-and-drop functionality and customizable dashboards. It provides a seamless user experience and integrates well with other business applications. In contrast, Superset offers a more minimalist and lightweight user interface, focusing more on functionality rather than aesthetics. It provides a clean and simple interface for creating and sharing visualizations.

  3. Data Sources and Connectivity: QlikView supports a wide range of data sources and provides robust connectivity options. It can extract data from various databases, spreadsheets, and other data sources, and can handle complex data modeling and integration. Superset also supports multiple data sources but may require some additional configuration and setup to connect to certain databases. It offers a flexible data source configuration and allows users to define custom SQL queries.

  4. Collaboration and Sharing: QlikView offers strong collaboration capabilities, allowing users to share dashboards and reports with others. It provides interactive and real-time collaboration features, such as shared bookmarks and annotations, which enable users to work together on data analysis projects. Superset also supports collaboration and sharing but may require some additional configuration and setup to enable these features. It allows users to share visualizations via URL or embed them in other applications.

  5. Security and Governance: QlikView provides robust security and governance features, allowing administrators to control user access and permissions. It offers fine-grained access controls, encryption options, and audit logging to ensure data security. Superset also provides security features but may require some additional configuration to fully enforce access controls. It supports role-based access control and integrates with external authentication providers.

  6. Customization and Extensibility: QlikView offers extensive customization options, allowing users to tailor the tool to their specific needs. It provides a wide range of APIs and development tools for extending and customizing the platform. Superset also offers customization options, such as the ability to create custom visualizations using JavaScript libraries. It provides a pluggable architecture that allows users to extend its functionality.

In Summary, QlikView and Superset differ in their approach to data exploration and analysis, user interface and design, data sources and connectivity, collaboration and sharing, security and governance, and customization and extensibility.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

QlikView
QlikView
Superset
Superset

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.

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.

Advanced Data Prep; Dashboarding
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
Statistics
Stacks
67
Stacks
420
Followers
61
Followers
1.0K
Votes
0
Votes
45
Pros & Cons
No community feedback yet
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Wide SQL database support
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
No integrations available

What are some alternatives to QlikView, Superset?

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.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

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.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

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.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope