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  1. Stackups
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  5. MariaDB vs Oracle

MariaDB vs Oracle

OverviewDecisionsComparisonAlternatives

Overview

Oracle
Oracle
Stacks2.6K
Followers1.8K
Votes113
MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K

MariaDB vs Oracle: What are the differences?

Introduction

MariaDB and Oracle are both popular relational database management systems (RDBMS) with their own sets of features and capabilities. While they share some similarities, there are key differences between the two.

  1. Scalability: One major difference between MariaDB and Oracle is their scalability. Oracle offers robust scalability options, allowing for easy scaling of both hardware and software resources, making it well-suited for enterprise-level applications with high traffic and extensive data requirements. On the other hand, MariaDB also provides scalability features but may not be as comprehensive as Oracle's offerings, making it a better choice for small to medium-sized applications.

  2. Licensing: Another significant difference lies in their licensing models. MariaDB is an open-source RDBMS, released under the GNU General Public License (GPL), which means it is free to use and modify. Oracle, on the other hand, is a commercial RDBMS that requires a paid license for most use cases. This distinction can have cost implications for organizations, especially those with budget limitations.

  3. Replication: Replication, the ability to create copies of data and distribute it to multiple database instances, is vital for high availability and data redundancy. Oracle offers advanced replication features, providing various options for replication topologies and synchronization methods. MariaDB also supports replication but may have fewer options and features compared to Oracle. Organizations with complex replication requirements may prefer Oracle for its robust capabilities.

  4. Enterprise features: As a commercial RDBMS, Oracle tends to have a broader range of enterprise-grade features compared to MariaDB. These features include advanced security options, comprehensive backup and recovery mechanisms, advanced analytics, and high availability options. While MariaDB offers similar functionality, it may lack some of the more advanced or specialized features found in Oracle.

  5. Ecosystem and support: Oracle has been a dominant player in the RDBMS market for a long time, resulting in a mature ecosystem and extensive support options. The availability of certified professionals, third-party tools, and documentation is abundant for Oracle. Although MariaDB has gained significant popularity since its inception, it may have a relatively smaller ecosystem by comparison, which could impact the availability of specialized support or third-party integrations.

  6. Compatibility and standardization: Both MariaDB and Oracle adhere to SQL standards and provide SQL compatibility. However, Oracle has historically placed a stronger emphasis on adhering to standards and has implemented more SQL-related features, making it more compliant. Adhering closely to standards can simplify migration and interoperability with other database systems.

Summary

In summary, the key differences between MariaDB and Oracle lie in their scalability options, licensing models, replication features, enterprise-grade functionality, ecosystem and support, as well as compatibility with SQL standards. These factors should be considered when choosing a database management system that best fits the specific requirements of an organization or application.

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Advice on Oracle, MariaDB

Maxim
Maxim

student at USI

Aug 25, 2020

Needs adviceonNode.jsNode.jsMongooseMongoosePostgreSQLPostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k
Comments
Omran
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)

582k views582k
Comments
Daniel
Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

495k views495k
Comments

Detailed Comparison

Oracle
Oracle
MariaDB
MariaDB

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

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.

-
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
2.6K
Stacks
16.5K
Followers
1.8K
Followers
12.8K
Votes
113
Votes
468
Pros & Cons
Pros
  • 44
    Reliable
  • 33
    Enterprise
  • 15
    High Availability
  • 5
    Hard to maintain
  • 5
    Expensive
Cons
  • 14
    Expensive
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup

What are some alternatives to Oracle, MariaDB?

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.

MySQL

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

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

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.

RethinkDB

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

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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