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  5. MySQL vs xmysql

MySQL vs xmysql

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
xmysql
xmysql
Stacks6
Followers31
Votes0
GitHub Stars186
Forks63

MySQL vs xmysql: What are the differences?

Introduction

MySQL and xmysql are both relational database management systems (RDBMS) that are widely used for storing and managing data. However, there are key differences between these two systems that set them apart from each other. In this document, we will explore and explain six main differences between MySQL and xmysql.

1. Schemaless vs Schema-based: MySQL is a schema-based database system, which means that it requires a predefined structure for storing data. Tables and their columns need to be created before data can be inserted. On the other hand, xmysql is a schemaless database system, allowing for flexible data storage without a fixed structure. Data can be added and removed without the need for predefined tables or columns.

2. SQL Language Support: MySQL supports the standard SQL language and its various extensions, providing a rich set of features and functions for data manipulation and retrieval. In contrast, xmysql has limited support for SQL queries and syntax. It uses a simplified query language that aims to provide a more user-friendly and intuitive experience.

3. Performance: MySQL is widely recognized for its performance and scalability, making it suitable for handling large-scale databases and high-concurrency applications. It offers various indexing options, caching mechanisms, and optimization techniques to enhance query performance. While xmysql also strives for performance, it may not match the performance levels of MySQL due to its schemaless nature and the additional overhead of handling flexible data structures.

4. Community and Support: MySQL has a large and active community with a wealth of resources, forums, and documentation available. This strong community support makes it relatively easy to find help, seek advice, and troubleshoot issues. On the other hand, xmysql is a relatively newer database system and may not have the same level of community support and resources as MySQL.

5. Inheritance of MySQL Features: MySQL has a mature feature set, including support for complex queries, transactions, and advanced data types. Over the years, it has evolved to offer a range of functionality that caters to diverse database needs. In contrast, xmysql inherits most of its features and functionality from MySQL but may not provide the exact same level of completeness and compatibility.

6. Ecosystem Integration: MySQL has a rich ecosystem of tools, frameworks, and libraries that integrate seamlessly with the database system. This includes popular ORMs (Object-Relational Mapping) like Hibernate and Sequelize, as well as various data analytics and visualization tools. While xmysql can also integrate with some of these tools, it may not have the same level of compatibility and support as MySQL.

In summary, MySQL is a well-established, schema-based RDBMS with a strong community and comprehensive feature set, making it highly suitable for large-scale applications. xmysql, on the other hand, is a newer, schemaless database system with simplified query language and performance optimization but may lack the same level of community support and ecosystem integration as MySQL.

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Advice on MySQL, xmysql

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
xmysql
xmysql

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.

one command to generate REST APIs for any MySql database

-
Generates API for ANY MySql database;Serves APIs irrespective of naming conventions of primary keys, foreign keys, tables etc;CRUD : Usual suspects;Support for composite primary keys;Pagination;Sorting;Column filtering - Fields;Row filtering - Where;Group By;Group By, Order By;Aggregate functions;Relations;Run dynamic queries;Upload single file;Upload multiple files;Download file;Group By, Having - Work in Progress - 🐎🐎
Statistics
GitHub Stars
11.8K
GitHub Stars
186
GitHub Forks
4.1K
GitHub Forks
63
Stacks
129.6K
Stacks
6
Followers
108.6K
Followers
31
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet

What are some alternatives to MySQL, xmysql?

MongoDB

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.

PostgreSQL

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.

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

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