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MySQL Performance Analyzer vs PostGIS: What are the differences?
MySQL Performance Analyzer: MySQL Performance Analyzer by Yahoo. MySQL Performance Analyzer is an open source project for MySQL performance monitoring and analysis; PostGIS: Open source spatial database. PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
MySQL Performance Analyzer and PostGIS can be categorized as "Database" tools.
MySQL Performance Analyzer and PostGIS are both open source tools. MySQL Performance Analyzer with 1.36K GitHub stars and 193 forks on GitHub appears to be more popular than PostGIS with 645 GitHub stars and 246 GitHub forks.
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Pros of PostGIS
Pros of MySQL Performance Analyzer
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Pros of PostGIS
- De facto GIS in SQL25
- Good Documentation5
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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 PostGIS?
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
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What companies use MySQL Performance Analyzer?
What companies use PostGIS?
What companies use MySQL Performance Analyzer?
What companies use PostGIS?
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What tools integrate with MySQL Performance Analyzer?
What tools integrate with PostGIS?
What tools integrate with MySQL Performance Analyzer?
What tools integrate with PostGIS?
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What are some alternatives to MySQL Performance Analyzer and PostGIS?
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