Software Alternatives, Accelerators & Startups

Pandas VS MySQL

Compare Pandas VS MySQL and see what are their differences

Pandas logo Pandas

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

MySQL logo MySQL

The world's most popular open source database
  • Pandas Landing page
    Landing page //
    2023-05-12
  • MySQL Landing page
    Landing page //
    2022-06-17

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

MySQL videos

MySQL IN 10 MINUTES (2020) | Introduction to Databases, SQL, & MySQL

More videos:

  • Review - A Review of MySQL Open Source Software

Category Popularity

0-100% (relative to Pandas and MySQL)
Data Science And Machine Learning
Databases
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Relational Databases
0 0%
100% 100

User comments

Share your experience with using Pandas and MySQL. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

MySQL Reviews

MariaDB Vs MySQL In 2019: Compatibility, Performance, And Syntax
MySQL: MySQL is an open-source relational database management system (RDBMS). Just like all other relational databases, MySQL uses tables, constraints, triggers, roles, stored procedures and views as the core components that you work with. A table consists of rows, and each row contains a same set of columns. MySQL uses primary keys to uniquely identify each row (a.k.a...
Source: blog.panoply.io
20+ MongoDB Alternatives You Should Know About
MySQL® is another feasible replacement. MySQL 5.7 and MySQL 8 have great support for JSON, and it continues to get better with every maintenance release. You can also consider MySQL Cluster for medium size sharded environments. You can also consider MariaDB and Percona Server for MySQL
Source: www.percona.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than MySQL. While we know about 201 links to Pandas, we've tracked only 4 mentions of MySQL. 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.

Pandas mentions (201)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 16 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 21 days ago
  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
View more

MySQL mentions (4)

  • I have a recurring issue with a MySQL DB where I continually run out of disk space due to logs being filled. I've tried everything I can think of. Can anyone think of anything else I should try?
    So, I did a quick read through the mysql reference and found a bunch of flush related commands. I tried:. Source: about 1 year ago
  • MMORPG design resources
    MySQL: Any SQL or DB knock-off, really... mysql.com - mariadb.org - sqlite.org. Source: over 1 year ago
  • Probably a syntax error
    15 years and five strokes ago. I was a Unix sysadmin. ALthough I was never an actual programmer, I did maintenance/light enhancement for the organization's website, in php. Now, as self-administered cognative therapy, I'm going back to it. This is an evil HR application that uses the mysql.com employees sample database. The module below enables the evil HR end user to generate a list of the oldest workers so... Source: almost 3 years ago
  • An absolute nightmare with mysql 8.0.25
    I always use the packages from mysql.com, that way I don't have to deal with strange configuration stuff along those lines, but anyway, I'm afraid I'm out of ideas. Surely someone else would have run in to the same issue here though. Source: about 3 years ago

What are some alternatives?

When comparing Pandas and MySQL, you can also consider the following products

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

OpenCV - OpenCV is the world's biggest computer vision library

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.