Humongous.io vs MySQL Performance Analyzer

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Humongous.io

7
14
+ 1
2
MySQL Performance Analyzer

12
90
+ 1
0
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Humongous.io vs MySQL Performance Analyzer: What are the differences?

Developers describe Humongous.io as "mongoDB User Interface". HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed. On the other hand, MySQL Performance Analyzer is detailed as "MySQL Performance Analyzer by Yahoo". MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis.

Humongous.io and MySQL Performance Analyzer can be primarily classified as "Database" tools.

MySQL Performance Analyzer is an open source tool with 1.36K GitHub stars and 193 GitHub forks. Here's a link to MySQL Performance Analyzer's open source repository on GitHub.

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Pros of Humongous.io
Pros of MySQL Performance Analyzer
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    What is Humongous.io?

    HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed.

    What is MySQL Performance Analyzer?

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

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Humongous.io?
    What companies use MySQL Performance Analyzer?
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    What tools integrate with Humongous.io?
    What tools integrate with MySQL Performance Analyzer?
    What are some alternatives to Humongous.io and MySQL Performance Analyzer?
    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
    See all alternatives