Qlik vs Superset

Overview

Superset

Stacks420

Followers1.0K

Votes45

Qlik

Stacks40

Followers33

Votes0

Qlik vs Superset: What are the differences?

Licensing Model: Qlik Sense typically follows a licensing model where users need to pay for the software to access its full functionality, while Superset is an open-source tool that is freely available to anyone without any licensing costs or restrictions.
Data Sources: Qlik is focused on integrating with a wide range of data sources including traditional databases, cloud services, and big data platforms, whereas Superset has a stronger emphasis on integrating with SQL-based databases such as MySQL, PostgreSQL, and SQLite.
User Interface: Qlik provides a more user-friendly and intuitive drag-and-drop interface for creating visualization, dashboards, and reports, while Superset may require more technical expertise and hands-on development skills to build and customize complex visualizations.
Community Support: Superset has a large and active community of users and contributors who continuously improve and expand the tool's capabilities through plugins and extensions, while Qlik's community support may not be as extensive due to its proprietary nature.
Scalability: Qlik is known for its robust enterprise-level scalability and performance, making it suitable for large organizations with massive amounts of data, whereas Superset may face performance challenges when dealing with extremely large datasets or complex analytical queries.
Advanced Analytics: Qlik offers advanced analytics capabilities such as predictive analytics, machine learning integration, and natural language processing, which may not be as readily available or developed in Superset's feature set.

In Summary, Qlik and Superset differ in terms of licensing model, data sources, user interface, community support, scalability, and advanced analytics capabilities.

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CLI (Node.js)

Manual

Detailed Comparison

Superset	Qlik
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.	Turn your data into business value faster with Qlik, the only end-to-end data integration and data analytics solutions for modern business intelligence.
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;	Streaming data pipelines with change data capture; Automate the process from raw to analytics-ready data; Make data easily accessible with an enterprise data catalog
Statistics
Stacks 420	Stacks 40
Followers 1.0K	Followers 33
Votes 45	Votes 0
Pros & Cons
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	No community feedback yet

What are some alternatives to Superset, Qlik?

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: 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

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

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

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

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 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

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

Related Comparisons

Qlik vs Superset: What are the differences?

Licensing Model: Qlik Sense typically follows a licensing model where users need to pay for the software to access its full functionality, while Superset is an open-source tool that is freely available to anyone without any licensing costs or restrictions.
Data Sources: Qlik is focused on integrating with a wide range of data sources including traditional databases, cloud services, and big data platforms, whereas Superset has a stronger emphasis on integrating with SQL-based databases such as MySQL, PostgreSQL, and SQLite.
User Interface: Qlik provides a more user-friendly and intuitive drag-and-drop interface for creating visualization, dashboards, and reports, while Superset may require more technical expertise and hands-on development skills to build and customize complex visualizations.
Community Support: Superset has a large and active community of users and contributors who continuously improve and expand the tool's capabilities through plugins and extensions, while Qlik's community support may not be as extensive due to its proprietary nature.
Scalability: Qlik is known for its robust enterprise-level scalability and performance, making it suitable for large organizations with massive amounts of data, whereas Superset may face performance challenges when dealing with extremely large datasets or complex analytical queries.
Advanced Analytics: Qlik offers advanced analytics capabilities such as predictive analytics, machine learning integration, and natural language processing, which may not be as readily available or developed in Superset's feature set.

In Summary, Qlik and Superset differ in terms of licensing model, data sources, user interface, community support, scalability, and advanced analytics capabilities.

Qlik vs Superset

Overview