Software Alternatives, Accelerators & Startups

ATLAS.ti VS Impala

Compare ATLAS.ti VS Impala and see what are their differences

ATLAS.ti logo 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.

Impala logo Impala

Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04
  • Impala Landing page
    Landing page //
    2023-04-02

ATLAS.ti videos

Literature Review with ATLAS.ti 8 Windows and Mac (Jan. 25th, 2018)

More videos:

  • Review - Overview of ATLAS.ti 8 Windows April 10th, 2018
  • Review - Literature Review and Qualitative Data Analysis Using Atlas.ti by Muhammad Farooq Buzdar

Impala videos

2016 Chevrolet Impala - Review and Road Test

More videos:

  • Review - 2020 Chevrolet Impala Review | The Final Year
  • Review - Is it the END of the road for the 2019 Chevy Impala?

Category Popularity

0-100% (relative to ATLAS.ti and Impala)
Text Analytics
100 100%
0% 0
Big Data
0 0%
100% 100
Market Research
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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What are some alternatives?

When comparing ATLAS.ti and Impala, you can also consider the following products

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

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

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.