MySQL Performance Analyzer vs pgweb

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MySQL Performance Analyzer

12
90
+ 1
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pgweb

8
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+ 1
0
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MySQL Performance Analyzer vs pgweb: What are the differences?

Developers describe MySQL Performance Analyzer as "MySQL Performance Analyzer by Yahoo". MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis. On the other hand, pgweb is detailed as "Web-based PostgreSQL database browser written in Go". This is a web-based browser for PostgreSQL database server. Its written in Go and works on Mac OSX, Linux and Windows machines. Main idea behind using Go for the backend is to utilize language's ability for cross-compile source code for multiple platforms. This project is an attempt to create a very simple and portable application to work with PostgreSQL databases.

MySQL Performance Analyzer and pgweb can be categorized as "Database" tools.

MySQL Performance Analyzer and pgweb are both open source tools. pgweb with 5.94K GitHub stars and 419 forks on GitHub appears to be more popular than MySQL Performance Analyzer with 1.36K GitHub stars and 193 GitHub forks.

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What is MySQL Performance Analyzer?

MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.

What is pgweb?

This is a web-based browser for PostgreSQL database server. Its written in Go and works on Mac OSX, Linux and Windows machines. Main idea behind using Go for the backend is to utilize language's ability for cross-compile source code for multiple platforms. This project is an attempt to create a very simple and portable application to work with PostgreSQL databases.

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What companies use MySQL Performance Analyzer?
What companies use pgweb?
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What tools integrate with MySQL Performance Analyzer?
What tools integrate with pgweb?
What are some alternatives to MySQL Performance Analyzer and pgweb?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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