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. Qlik Sense vs SAS

Qlik Sense vs SAS

OverviewComparisonAlternatives

Overview

Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0
SAS
SAS
Stacks87
Followers89
Votes0

Qlik Sense vs SAS: What are the differences?

Introduction

Qlik Sense and SAS are both powerful software tools used in data analysis and business intelligence. Although they have some similarities, there are key differences that set them apart.

  1. Cost: One of the primary differences between Qlik Sense and SAS is the cost. Qlik Sense offers a more affordable pricing model compared to SAS, which tends to be more expensive. This can be a significant factor for organizations looking to implement a data analytics solution within a limited budget.

  2. Ease of Use: Qlik Sense is known for its user-friendly interface and intuitive drag-and-drop features, making it easier for non-technical users to navigate and analyze data effectively. On the other hand, SAS is a more complex tool, requiring expertise in programming and statistical analysis. This difference in ease of use can impact the learning curve for users and the speed at which insights can be generated.

  3. Deployment Options: Qlik Sense provides cloud-based deployment options, enabling users to access and analyze data from anywhere with an internet connection. In contrast, SAS predominantly offers on-premise deployment options, which may require additional IT infrastructure and maintenance. The flexibility of cloud deployment can be advantageous for organizations with remote or distributed teams.

  4. Visualization Capabilities: Qlik Sense excels in data visualization, offering an extensive range of interactive charts, graphs, and visualizations that enable users to explore and present data in a visually appealing manner. While SAS also provides visualization capabilities, it may require more manual coding and customization to achieve similar results.

  5. Integration with External Data Sources: Qlik Sense has robust integration capabilities, allowing users to seamlessly connect and integrate data from various external sources, such as databases, cloud applications, and spreadsheets. SAS also offers integration, but it may require more configuration and scripting to establish connections with external data sources.

  6. Collaboration and Sharing: Qlik Sense provides collaborative features that facilitate data sharing, storytelling, and collaboration within the platform itself. Users can create and share interactive reports, dashboards, and apps, allowing for easier collaboration and decision-making. SAS also offers collaboration features, but these may require additional licensing or third-party tools for seamless sharing and collaboration.

In summary, Qlik Sense offers a more cost-effective solution with a user-friendly interface, cloud deployment options, and strong data visualization capabilities. While SAS provides powerful statistical analysis capabilities, it requires more expertise and may be pricier. The choice between the two depends on the organization's specific needs, budget, and level of technical expertise available.

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

Qlik Sense
Qlik Sense
SAS
SAS

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.

It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

-
Analyses; Reporting; Data mining; Predictive modeling
Statistics
Stacks
122
Stacks
87
Followers
100
Followers
89
Votes
0
Votes
0

What are some alternatives to Qlik Sense, SAS?

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.

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.

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.

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