MySQL vs Oracle PL/SQL

Overview

MySQL

Stacks129.6K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

Oracle PL/SQL

Stacks748

Followers598

Votes8

MySQL vs Oracle PL/SQL: What are the differences?

MySQL and Oracle PL/SQL are both popular database technologies, but they differ in their usage. Here are the key differences between MySQL and Oracle PL/SQL:

Database Type: MySQL is a relational database management system (RDBMS) that follows the SQL (Structured Query Language) standard for managing relational data. It is known for its simplicity, ease of use, and high performance. On the other hand, Oracle PL/SQL is a procedural language extension to the SQL used in Oracle Database. PL/SQL allows developers to write procedural code, including loops, conditionals, and exception handling, within the database.
Features and Functionality: MySQL offers a comprehensive set of features for managing relational databases, including support for various data types, indexes, transactions, and replication. It is well-suited for web applications, content management systems, and other general-purpose use cases. Oracle PL/SQL, being a procedural language, provides additional programming capabilities within the Oracle Database. It allows developers to write complex business logic and stored procedures directly in the database, enabling better integration between the application and the database.
Scalability and Performance: MySQL is known for its scalability and performance, particularly in read-heavy workloads. It can handle high volumes of concurrent connections and offers various scalability options such as sharding and clustering. Oracle Database, including PL/SQL, is designed to handle large-scale enterprise workloads with high concurrency, complex queries, and heavy transactional processing. It provides advanced performance optimization features and options like partitioning and parallel processing.
Cost and Licensing: MySQL is an open-source database with a free community edition and commercial versions for enterprise needs. Oracle Database, including PL/SQL, is a commercial database system and requires a paid license for enterprise usage. It offers different editions with varying features and licensing models, including options for high availability and advanced security.

In summary, MySQL is a popular relational database management system known for its simplicity and performance, while Oracle PL/SQL is a procedural language extension used within Oracle Database for writing complex business logic. MySQL is suitable for general-purpose use cases, especially in web applications, while Oracle PL/SQL provides advanced programming capabilities within the Oracle Database for enterprise-grade workloads.

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Advice on MySQL, Oracle PL/SQL

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

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

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

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

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	Oracle PL/SQL
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.	It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.
Statistics
GitHub Stars 11.8K	GitHub Stars -
GitHub Forks 4.1K	GitHub Forks -
Stacks 129.6K	Stacks 748
Followers 108.6K	Followers 598
Votes 3.8K	Votes 8
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	Pros 2 Multiple ways to accomplish the same end 2 Powerful 1 Massive, continuous investment by Oracle Corp 1 Extensible to external langiages 1 Pl/sql Cons 2 High commercial license cost
Integrations
No integrations available	Python PHP .NET Node.js Oracle Hadoop Java

What are some alternatives to MySQL, Oracle PL/SQL?

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 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.

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 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

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 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

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.

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.