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Apache Parquet VS MATLAB

Compare Apache Parquet VS MATLAB and see what are their differences

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Apache Parquet logo Apache Parquet

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

MATLAB logo MATLAB

A high-level language and interactive environment for numerical computation, visualization, and programming
  • Apache Parquet Landing page
    Landing page //
    2022-06-17
  • MATLAB Landing page
    Landing page //
    2022-10-30

We recommend LibHunt MATLAB for discovery and comparisons of trending MATLAB projects.

Apache Parquet videos

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MATLAB videos

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Matlab Review Part 1

More videos:

  • Review - The Complete MATLAB Course: Beginner to Advanced!
  • Tutorial - Complete MATLAB Tutorial for Beginners

Category Popularity

0-100% (relative to Apache Parquet and MATLAB)

Apache Parquet

MATLAB

Databases
100 100%
Databases
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Numerical Computation
0 0%
Numerical Computation
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 Parquet and MATLAB

Apache Parquet Reviews

We have no reviews of Apache Parquet yet.
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MATLAB Reviews

25 Best Statistical Analysis Software
MATLAB is an exceptional choice for individuals seeking to perform advanced statistical analysis and data visualization. Its high-level programming environment and comprehensive range of tools enable users to efficiently process, analyze, and visualize their data.
Source: www.scijournal.org
7 Best MATLAB alternatives for Linux
MATLAB is a programming language and numeric computing environment. It is used for solving mathematical problems and displaying the result graphically. MATLAB is a paid tool, they provide a free trial for one month.
Source: cyanogenmods.org
15 data science tools to consider using in 2021
Developed and sold by software vendor MathWorks since 1984, Matlab is a high-level programming language and analytics environment for numerical computing, mathematical modeling and data visualization. It's primarily used by conventional engineers and scientists to analyze data, design algorithms and develop embedded systems for wireless communications, industrial control,...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: MathWorks MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, tested, and...
Source: solutionsreview.com
Matlab Alternatives
Matrix Laboratory also known as MATLAB is a high-level programming language. It provides an interactive environment to perform computations in various fields such as mathematics, sciences and engineering streams. The results can be visualized and generated as reports for further analysis. Matlab is the pioneer in combining these things. A team of professionals develop the...
Source: www.educba.com

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
View more

MATLAB mentions (0)

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

What are some alternatives?

When comparing Apache Parquet and MATLAB, you can also consider the following products

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

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

GNU Octave - GNU Octave is a programming language for scientific computing.

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

Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

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