Software Alternatives, Accelerators & Startups
Register | Login

IBM SPSS Modeler VS Dataiku

Compare IBM SPSS Modeler VS Dataiku 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 Modeler logo IBM SPSS Modeler

IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • IBM SPSS Modeler Landing page
    Landing page //
    2023-03-30
  • Dataiku Landing page
    Landing page //
    2023-08-17

IBM SPSS Modeler videos

+ Add

IBM SPSS Modeler 18.2 and The New User Interface

More videos:

  • Review - Improve forecasting accuracy with IBM Planning Analytics and IBM SPSS Modeler

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to IBM SPSS Modeler and Dataiku)

IBM SPSS Modeler

Dataiku

Technical Computing
100 100%
Technical Computing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Numerical Computation
100 100%
Numerical Computation
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using IBM SPSS Modeler and Dataiku. 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 Modeler and Dataiku

IBM SPSS Modeler Reviews

We have no reviews of IBM SPSS Modeler yet.
Be the first one to post

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

What are some alternatives?

When comparing IBM SPSS Modeler and Dataiku, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

NumPy - NumPy is the fundamental package for scientific computing with Python

Loading...