Software Alternatives & Reviews

Apache Parquet VS ATLAS.ti

Compare Apache Parquet VS ATLAS.ti and see what are their differences

Apache Parquet logo Apache Parquet

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

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.
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04

Apache Parquet videos

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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

Category Popularity

0-100% (relative to Apache Parquet and ATLAS.ti)
Databases
100 100%
0% 0
Text Analytics
0 0%
100% 100
Big Data
100 100%
0% 0
Market Research
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Parquet seems to be more popular. It has been mentiond 19 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.

Apache Parquet mentions (19)

  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago
  • Demystifying Apache Arrow
    Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / 12 months ago
  • Parquet: more than just "Turbo CSV"
    Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago
  • Beginner question about transformation
    You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: about 1 year ago
  • Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
    This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: about 1 year ago
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ATLAS.ti mentions (0)

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

What are some alternatives?

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

Apache Arrow - Apache Arrow is a cross-language development platform for in-memory data.

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

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Apache ORC - Apache ORC is a columnar storage for Hadoop workloads.

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.