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  5. Qlik vs SAS

Qlik vs SAS

OverviewComparisonAlternatives

Overview

Qlik
Qlik
Stacks40
Followers33
Votes0
SAS
SAS
Stacks83
Followers89
Votes0

Qlik vs SAS: What are the differences?

Developers describe Qlik as "Accelerate business value through data". Turn your data into business value faster with Qlik, the only end-to-end data integration and data analytics solutions for modern business intelligence. On the other hand, SAS is detailed as "A command-driven software package used for statistical analysis and data visualization". 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.

Qlik and SAS can be primarily classified as "Business Intelligence" tools.

Some of the features offered by Qlik are:

  • 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

On the other hand, SAS provides the following key features:

  • Analyses
  • Reporting
  • Data mining

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Detailed Comparison

Qlik
Qlik
SAS
SAS

Turn your data into business value faster with Qlik, the only end-to-end data integration and data analytics solutions for modern business intelligence.

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.

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
Analyses; Reporting; Data mining; Predictive modeling
Statistics
Stacks
40
Stacks
83
Followers
33
Followers
89
Votes
0
Votes
0

What are some alternatives to Qlik, 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.

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