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  5. Narrator vs SAS

Narrator vs SAS

OverviewComparisonAlternatives

Overview

SAS
SAS
Stacks83
Followers89
Votes0
Narrator
Narrator
Stacks3
Followers8
Votes0

Narrator vs SAS: What are the differences?

Key Differences between Narrator and SAS

  1. Accessibility: Narrator is a built-in screen reader in Windows, providing audio descriptions of what's on the screen, whereas SAS is a statistical software used for data management, analysis, and visualization.

  2. Platform Compatibility: Narrator is exclusive to Windows operating systems, while SAS is a cross-platform software that can be used on Windows, Mac OS, and various Linux distributions.

  3. Functionality: Narrator primarily focuses on providing accessibility for visually impaired users by reading out text and describing visual elements, whereas SAS is designed for complex statistical analysis and data processing tasks.

  4. User Base: Narrator is commonly used by individuals with visual impairments or disabilities requiring assistive technology, while SAS is popular among statisticians, data analysts, and researchers in various fields requiring advanced data manipulation tools.

  5. Cost: Narrator is a free feature included in Windows, accessible to all users of the operating system, while SAS requires a paid license for full functionality, making it more suitable for professional or academic use.

  6. Learning Curve: Narrator is relatively easy to use, with simple commands for navigation and interaction, while SAS has a steeper learning curve due to its advanced statistical functions and complex data processing capabilities.

In Summary, Narrator is a screen reader tool for Windows accessibility, while SAS is statistical software for data analysis across platforms with advanced functionalities and a paid licensing model.

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Detailed Comparison

SAS
SAS
Narrator
Narrator

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.

It replaces a star schema with one 11-column data model. Their new self-serve product transforms your company’s data into a single 11-column data model and allows you to generate any table for BI, reporting, and analysis using just that model.

Analyses; Reporting; Data mining; Predictive modeling
One table, one source of truth; Minimal maintenance; Deliver stories, not dashboards;
Statistics
Stacks
83
Stacks
3
Followers
89
Followers
8
Votes
0
Votes
0
Integrations
No integrations available
Azure SQL Database
Azure SQL Database
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake
PostgreSQL
PostgreSQL

What are some alternatives to SAS, Narrator?

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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