Software Alternatives, Accelerators & Startups

SAS In-Memory Analytics VS Minitab

Compare SAS In-Memory Analytics VS Minitab and see what are their differences

SAS In-Memory Analytics logo SAS In-Memory Analytics

SAS In-Memory Analytics product suite allows companies to quickly process large amounts of data and gain insights.

Minitab logo Minitab

Minitab helps businesses increase efficiency and improve quality through smart data analysis.
  • SAS In-Memory Analytics Landing page
    Landing page //
    2023-01-08
  • Minitab Landing page
    Landing page //
    2023-07-04

SAS In-Memory Analytics features and specs

No features have been listed yet.

Minitab features and specs

  • User-Friendly Interface
    Minitab offers a highly intuitive and easy-to-navigate interface, making it accessible for users at all skill levels.
  • Comprehensive Statistical Tools
    The software provides a wide range of statistical analyses, including regression, ANOVA, time series analysis, and more, which can meet diverse analytical needs.
  • Excellent Support and Documentation
    Minitab provides excellent customer support, including detailed documentation, webinars, tutorials, and a responsive help desk.
  • Integration Capabilities
    The software can easily integrate with other tools and platforms, enhancing its functionality and enabling seamless data flow.
  • Real-time Data Analysis
    Minitab supports real-time data analysis and visualization, allowing users to make quick, data-informed decisions.

Possible disadvantages of Minitab

  • Cost
    Minitab can be quite expensive, particularly for small businesses or individual users, which may limit its accessibility for some.
  • Limited Advanced Machine Learning Tools
    While Minitab excels in traditional statistical methods, it lacks some of the advanced machine learning tools and capabilities found in other software like Python or R.
  • Resource Intensive
    The software can be resource-intensive, requiring significant computational power and memory, which might not be suitable for older or less powerful computers.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced features and complex analyses can have a steep learning curve, particularly for beginners.
  • Limited Customization
    Minitab offers fewer customization options compared to other statistical tools, which can be restrictive for users needing tailored solutions.

SAS In-Memory Analytics videos

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Minitab videos

Introduction to Minitab | An Overview of Minitab

More videos:

  • Tutorial - Minitab Tutorial | Minitab Training Video | What is Minitab? | Introduction to Minitab
  • Review - 31 Minitab Review

Category Popularity

0-100% (relative to SAS In-Memory Analytics and Minitab)
Data Dashboard
8 8%
92% 92
Database Tools
9 9%
91% 91
Big Data Analytics
7 7%
93% 93
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SAS In-Memory Analytics and Minitab

SAS In-Memory Analytics Reviews

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Minitab Reviews

25 Best Statistical Analysis Software
Minitab is a powerful statistical software package that offers a suite of tools for data analysis, regression, hypothesis testing, quality improvement, forecasting, design of experiments, and statistical process control.
Top 10 Free Statistical Analysis Software 2023
10. Automation and customisation are supported through its scripting language, Minitab Macros, for expert users.
9 Best Analysis Software for PC 2023
Minitab statistical Software is an analytical software with spreadsheets where the user inputs the datasets. The software has a wide variety of analytical tools that can be used to create, calculate, analyze and generate your analysis reports.
Source: pdf.wps.com

What are some alternatives?

When comparing SAS In-Memory Analytics and Minitab, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Rakam - Custom analytics platform

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)