Software Alternatives & Reviews
Register | Login

IBM SPSS Statistics VS RapidMiner

Compare IBM SPSS Statistics VS RapidMiner and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

IBM SPSS Statistics logo IBM SPSS Statistics

IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16
  • RapidMiner Landing page
    Landing page //
    2022-06-12

IBM SPSS Statistics

Categories
  • Statistics
  • Data Analysis
  • Data Analytics
  • Numerical Computation
Website ibm.com
Pricing URL-
Edit details

RapidMiner

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website rapidminer.com
Pricing URL Official RapidMiner Pricing
Edit details

IBM SPSS Statistics videos

+ Add

IBM SPSS Statistics Overview

More videos:

  • Review - What's new in IBM SPSS Statistics 26

RapidMiner videos

+ Add

RapidMiner Review - Predictive analytics software review

More videos:

  • Review - Analyzing Customer Reviews with MonkeyLearn and RapidMiner
  • Review - SENTIMENT ANALYSIS OF MOVIE REVIEW USING RAPIDMINER FROM EXCEL FILE

Category Popularity

0-100% (relative to IBM SPSS Statistics and RapidMiner)

IBM SPSS Statistics

RapidMiner

Technical Computing
63 63%
Technical Computing
37% 37
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using IBM SPSS Statistics and RapidMiner. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare IBM SPSS Statistics and RapidMiner

IBM SPSS Statistics Reviews

Top 7 Predictive Analytics Tools
IBM SPSS Statistics is a popular predictive analytics tool. It offers a user-friendly interface and a strong set of features including the SPSS modeler, which provides advanced statistical procedures, helps ensure precision, and provides positive decision-making. All of the analytics lifecycle features are included, such as data preparation and management to analysis and...
Source: www.datamation.com
Top 10 Free Statistical Analysis Software 2023
IBM SPSS Statistics is a popular statistical software package that is widely used in academia, research, and industry for data analysis, reporting, and visualization. Some of the key features of IBM SPSS Statistics include:
Source: fellowshipbard.com

RapidMiner Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists...
Source: solutionsreview.com

Social recommendations and mentions

Based on our record, RapidMiner seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IBM SPSS Statistics mentions (0)

We have not tracked any mentions of IBM SPSS Statistics yet. Tracking of IBM SPSS Statistics recommendations started around Mar 2021.

RapidMiner mentions (3)

  • I need help lol
    RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: about 1 year ago
  • Intro to Py-Arrow
    I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDB’s new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / about 1 year ago
  • Data Science toolset summary from 2021
    Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing IBM SPSS Statistics and RapidMiner, you can also consider the following products

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Loading...