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Apache Kudu VS QualCoder

Compare Apache Kudu VS QualCoder and see what are their differences

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

QualCoder logo 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.
  • Apache Kudu Landing page
    Landing page //
    2021-09-26
  • QualCoder Landing page
    Landing page //
    2023-08-27

QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.

Apache Kudu videos

Apache Kudu and Spark SQL for Fast Analytics on Fast Data (Mike Percy)

More videos:

  • Review - Apache Kudu (Incubating): New Hadoop Storage for Fast Analytics on Fast Data
  • Review - Apache Kudu: Fast Analytics on Fast Data | DataEngConf SF '16

QualCoder videos

QualCoder 1.9 desde el escritorio

More videos:

Category Popularity

0-100% (relative to Apache Kudu and QualCoder)
Technical Computing
100 100%
0% 0
Market Research
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100% 100
Office & Productivity
100 100%
0% 0
Text Analytics
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 Apache Kudu and QualCoder

Apache Kudu Reviews

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QualCoder Reviews

  1. The best open source alternative to paid CAQDAS

    QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.

    ๐Ÿ Competitors: ATLAS.ti, NVivo
    ๐Ÿ‘ Pros:    Developer is responsive to feedback/requests and makes improvements|Easy to use|Advanced features
  2. Really good alternative to paid CAQDAS

    I really like using QualCoder 3.0 for its ease of use and intuitive interface.

    ๐Ÿ‘ Pros:    Easy to use|Intuitive|Easy merge of projects
    ๐Ÿ‘Ž Cons:    Only two hierarchies allowed for codes
  3. Efficient and powerful

    The software is efficient and powerful to perform the content analysis task. It allows you to follow the categories and classifications clearly. Facilitates thematic analysis. It is an excellent technology to implement a qualitative methodology. It is a 100% recommended software.

    ๐Ÿ Competitors: ATLAS.ti
    ๐Ÿ‘ Pros:    Free to use|Fast support|Information is easily accessible|Intuitive|Fast ui|Easy installation method|Easy user interface|Easy to get started and operate|Python
    ๐Ÿ‘Ž Cons:    None

What are some alternatives?

When comparing Apache Kudu and QualCoder, you can also consider the following products

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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.

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.ย 

AWS Trusted Advisor - Trusted Advisor helps AWS customers reduce cost, increase performance, and improve security by optimizing their AWS environments.