Software Alternatives, Accelerators & Startups

RQDA VS Dataiku

Compare RQDA VS Dataiku and see what are their differences

RQDA logo RQDA

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis...

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • RQDA Landing page
    Landing page //
    2019-02-24
  • Dataiku Landing page
    Landing page //
    2023-08-17

RQDA videos

RQDA 1. Introduction of Qualitative Data Analysis with RQDA

More videos:

  • Review - RQDA 2: Coding in RQDA - Qualitative data analysis

Dataiku videos

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 RQDA and Dataiku)
Text Analytics
100 100%
0% 0
Data Science And Machine Learning
Market Research
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RQDA and Dataiku

RQDA Reviews

We have no reviews of RQDA yet.
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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.
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....

Social recommendations and mentions

Based on our record, RQDA seems to be more popular. It has been mentiond 4 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.

RQDA mentions (4)

  • [R] Qualitative analysis software
    For eg- RQDA is a qualitative data analysis package wherein you could visualise themes etc. Check - https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2659&context=tqr Https://rqda.r-forge.r-project.org/. Source: over 1 year ago
  • [R] Qualitative analysis software
    Because we're on a statistics subreddit, I have to mention there are a handful of packages for doing qualitative work in R - RQDA, Q-Coder, some others - but I would not recommend it if you're not already familiar with R, or at least some programming language. There are graphical interfaces that will serve you well. Source: over 1 year ago
  • I cannot for the life of me download RQDA:/
    I’m not familiar with RQDA, but I’m assuming that you mean this. Source: over 1 year ago
  • [Q] Does anyone use R to code qualitative data?
    You might be better off with using something like RQDA: https://rqda.r-forge.r-project.org/. It seems that it hasn’t been updated since 2016, but there might be other alternatives. Source: over 1 year ago

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

When comparing RQDA and Dataiku, you can also consider the following products

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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