Pandasql vs Percona Monitoring and Management

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Pandasql

5
41
+ 1
0
Percona Monitoring and Management

22
27
+ 1
0
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Pandasql vs Percona Monitoring and Management: What are the differences?

Developers describe Pandasql as "Make python speak SQL". pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas. On the other hand, Percona Monitoring and Management is detailed as "Free and open-source platform for managing and monitoring MySQL®, MariaDB® and MongoDB® performance". It is a free and open-source platform for managing and monitoring MySQL®, MariaDB®, MongoDB® and PostgreSQL performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL, MariaDB, MongoDB and PostgreSQL servers to ensure that your data works as efficiently as possible.

Pandasql and Percona Monitoring and Management can be categorized as "Database" tools.

Pandasql is an open source tool with 759 GitHub stars and 113 GitHub forks. Here's a link to Pandasql's open source repository on GitHub.

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- No public GitHub repository available -

What is Pandasql?

pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas.

What is Percona Monitoring and Management?

It is a free and open-source platform for managing and monitoring MySQL®, MariaDB®, MongoDB® and PostgreSQL performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL, MariaDB, MongoDB and PostgreSQL servers to ensure that your data works as efficiently as possible.

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    What tools integrate with Pandasql?
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      What are some alternatives to Pandasql and Percona Monitoring and Management?
      SQLAlchemy
      SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      Slick
      It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      Microsoft SQL Server Management Studio
      It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
      See all alternatives