MariaDB vs Oracle PL/SQL

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Oracle PL/SQL

Stacks748

Followers598

Votes8

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

Introduction: In this article, we will explore the key differences between MariaDB and Oracle PL/SQL. Both MariaDB and Oracle PL/SQL are popular database management systems used in various industries for data storage and retrieval. Understanding their differences can help developers and organizations make informed decisions about which technology is best suited for their needs.

Data Types and Syntax: One major difference between MariaDB and Oracle PL/SQL lies in their data types and syntax. While MariaDB offers a wide range of data types including Numeric, Date/Time, String, and Spatial types, Oracle PL/SQL has a more extensive list of data types including Boolean, Record, and Table types. Additionally, the syntax for creating tables, procedures, and functions vary between the two systems.
Procedural Language Support: Another significant difference is the level of procedural language support provided by MariaDB and Oracle PL/SQL. MariaDB primarily uses SQL (Structured Query Language) for data manipulation and retrieval, whereas Oracle PL/SQL is a procedural language that extends SQL with its own programming constructs. PL/SQL allows developers to define variables, control structures, loops, and exception handling, providing more flexibility and control over application logic.
Transaction Control: The way MariaDB and Oracle PL/SQL handle transaction control also differs. MariaDB supports both implicit and explicit transaction control, allowing developers to ensure data consistency and integrity using BEGIN, COMMIT, and ROLLBACK statements. Oracle PL/SQL, on the other hand, automatically handles transaction control by implementing the ACID (Atomicity, Consistency, Isolation, Durability) properties.
Database Scalability and High Availability: MariaDB and Oracle PL/SQL offer different approaches to database scalability and high availability. MariaDB focuses on scalability through features such as parallel replication, horizontal partitioning, and sharding. It also provides options for high availability through tools like MariaDB Galera Cluster and MariaDB MaxScale. Oracle PL/SQL, on the other hand, provides scalability and high availability through features like Real Application Clusters (RAC), Data Guard, and Automatic Storage Management (ASM).
Licensing and Cost: The licensing and cost models of MariaDB and Oracle PL/SQL differ significantly. MariaDB is an open-source database management system, which means it can be used, modified, and distributed freely by individuals and organizations without any licensing fees. On the other hand, Oracle PL/SQL is a commercial product that requires a license and involves associated costs based on factors such as the number of users, processor cores, and optional features.
Community and Support: The community and support ecosystems surrounding MariaDB and Oracle PL/SQL also vary. MariaDB benefits from a vibrant open-source community that actively contributes to its development and provides support through forums, documentation, and user groups. Oracle, as a commercial product, offers official support services, documentation, and a large user community. Additionally, Oracle provides certifications and training programs for developers and administrators.

In summary, MariaDB and Oracle PL/SQL differ in their data types and syntax, procedural language support, transaction control, database scalability and high availability approaches, licensing and cost models, as well as community and support ecosystems. Understanding these differences can help developers and organizations make informed decisions when choosing a database management system.

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Advice on MariaDB, Oracle PL/SQL

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

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Detailed Comparison

MariaDB	Oracle PL/SQL
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.	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.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	-
Statistics
GitHub Stars 6.6K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 16.5K	Stacks 748
Followers 12.8K	Followers 598
Votes 468	Votes 8
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	Pros 2 Powerful 2 Multiple ways to accomplish the same end 1 Not mysql 1 Massive, continuous investment by Oracle Corp 1 Extensible to external langiages Cons 2 High commercial license cost
Integrations
No integrations available	Python PHP .NET Node.js Oracle Hadoop Java

What are some alternatives to MariaDB, 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.

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.

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.

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.

Related Comparisons

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

Data Types and Syntax: One major difference between MariaDB and Oracle PL/SQL lies in their data types and syntax. While MariaDB offers a wide range of data types including Numeric, Date/Time, String, and Spatial types, Oracle PL/SQL has a more extensive list of data types including Boolean, Record, and Table types. Additionally, the syntax for creating tables, procedures, and functions vary between the two systems.
Procedural Language Support: Another significant difference is the level of procedural language support provided by MariaDB and Oracle PL/SQL. MariaDB primarily uses SQL (Structured Query Language) for data manipulation and retrieval, whereas Oracle PL/SQL is a procedural language that extends SQL with its own programming constructs. PL/SQL allows developers to define variables, control structures, loops, and exception handling, providing more flexibility and control over application logic.
Transaction Control: The way MariaDB and Oracle PL/SQL handle transaction control also differs. MariaDB supports both implicit and explicit transaction control, allowing developers to ensure data consistency and integrity using BEGIN, COMMIT, and ROLLBACK statements. Oracle PL/SQL, on the other hand, automatically handles transaction control by implementing the ACID (Atomicity, Consistency, Isolation, Durability) properties.
Database Scalability and High Availability: MariaDB and Oracle PL/SQL offer different approaches to database scalability and high availability. MariaDB focuses on scalability through features such as parallel replication, horizontal partitioning, and sharding. It also provides options for high availability through tools like MariaDB Galera Cluster and MariaDB MaxScale. Oracle PL/SQL, on the other hand, provides scalability and high availability through features like Real Application Clusters (RAC), Data Guard, and Automatic Storage Management (ASM).
Licensing and Cost: The licensing and cost models of MariaDB and Oracle PL/SQL differ significantly. MariaDB is an open-source database management system, which means it can be used, modified, and distributed freely by individuals and organizations without any licensing fees. On the other hand, Oracle PL/SQL is a commercial product that requires a license and involves associated costs based on factors such as the number of users, processor cores, and optional features.
Community and Support: The community and support ecosystems surrounding MariaDB and Oracle PL/SQL also vary. MariaDB benefits from a vibrant open-source community that actively contributes to its development and provides support through forums, documentation, and user groups. Oracle, as a commercial product, offers official support services, documentation, and a large user community. Additionally, Oracle provides certifications and training programs for developers and administrators.

MariaDB vs Oracle PL/SQL

Overview