This comprehensive MariaDB vs MongoDB comparison explores both DBMS in detail. But first, let’s take a brief look at each.
MariaDB is an open-source relational DBMS solution created to provide SQL features for accessing the data. MariaDB is written in multiple languages — Perl, bash, C, and C++. You can use it under Windows, MacOS, or Linux. It boasts the features of NoSQL, bringing extra value to a relational database.
What Are the Main Differences Between MariaDB and MongoDB?
Here are the key differences between MariaDB and MongoDB:
- MongoDB may be the more popular of the two, but MariaDB benefits from better performance, security, and availability. It also works in other databases and is based on columns. MongoDB works as a cloud service and is built with a solid infrastructure — this helps it perform well in any application with fewer resources. MongoDB is also available in services that only have documents in the store.
- MariaDB is compatible with Azure and has high availability. The cloud store is impressive, and security is provided. MariaDB is also easy to use in systems, and it has a cloud service offering simple use for developers. MongoDB is used in AWS, GCP, and Azure clouds as it can be integrated with any cloud service easily. It’s available in the system easily, too, but lacks its own cloud service (unlike MariaDB).
- MariaDB is essentially a relational database model, but MongoDB is, fundamentally, a document store. MongoDB functions as a search engine for available documents and as a standard relational database too. It’s the top document store when compared with alternative databases on the market. MariaDB’s secondary stores are document store and graph DBMS. There’s also a search engine for graphs, which can be stored within the database.
- MariaDB provides XML support for storage, access, and retrieval in XML format. This feature is unavailable in MongoDB, and it offers access for documents only.
- MariaDB uses SQL queries, which make the database easy to use with SQL commands. SQL queries are also used in MongoDB, though users can’t work with the queries. They’re available as read-only queries and are used in business intelligence via MongoDB Connector. These commands help the databases to integrate with others and share their data.
- In MariaDB, different APIs are used to facilitate the proper function and availability of data. These include ODBC, JDBC, ADO.NET, as well as native API for the security system’s functionality. These APIs enable the database in data management and make data available when a user requires access. MongoDB doesn’t include an API and uses a protocol for the JSON format only. And MongoDB isn’t as complex as MariaDB — this protocol aids proper data management.
- Both databases support the majority of programming languages. While MariaDB offers no support for Matlab and shell languages, MongoDB has a big base for supporting all languages in the system.
MongoDB vs MariaDB: A Simple Comparison Table
In this comparison table, we take a deeper dive into both databases to help you decide whether MariaDB or MongoDB is right for your requirements.
|Scripts are consistent throughout MariaDB. It delivers instant consistency in the event of failed queries.||Scripts deliver instant and eventual consistency, to make the available scripts work smoothly.|
|Various partitioning methods are available, including sharding and horizontal partitioning. Sharding can be performed with the storage engine or clusters. This is useful for avoiding unwanted data in the system and for staying relevant to the data needed.||Thanks to the partitioning methods, the documents always work and identify the documents needed within the database. The method used here is Sharding, and this leaves documents arranged efficiently.|
|Master to master and master to slave replication methods are available. Any replication members have the power to edit data. The database functions effectively in this system.||The master to slave replication method is available. Data is unable to be updated by any users but the servers within the group.|
|Inside the system, a cache is managed and the load is checked. If it’s unavailable, data is loaded from the server — so the database’s work is easy.||As the cache is not managed in the system, data is not loaded from it.|
|The processing of data can take time and the facility of map reduce is unavailable.||Data processing can be performed easily thanks to map reduce, that helps to process significant loads of data simply at once. Map reduce leads to proper results.|
|As foreign keys are utilized in the system, data is linked from table to table. It’s easier to grab data from any table as a result.||This database does not use foreign keys, which means the tables aren’t easily linked. Data can be gathered from other tables if you call them from the table directly.|
|The database’s transaction levels are: atomicity, consistency, isolation, durability (a concept known as ACID).||The database uses ACID concepts and snapshot isolation to create a consistent view of available data with data integrity.|
|MariaDB is easy to use for users with SQL base , due to the number of similar queries and its functional similarity to SQL. Users with SQL standards will have rights provided to them.||MongoDB doesn’t work like SQL, but users have access rights based on system role.|
MongoDB vs MariaDB – Are They Supported By Plesk?
MariaDB is supported by Plesk under both Linux and Windows. For Plesk Obsidian under Linux you will need MariaDB 5.5-10.3.17. Plesk Obsidian for Windows requires MariadDB 10.3.22. As concerns MariaDB 10.4-10.5 – Plesk Obsidian 18.0.30 or newer is mandatory under Linux and Windows.
In contrast, MongoDB is not supported by Plesk Obsidian at the moment. MongoDB can be installed via Docker, however should be still managed manually – Plesk hasn’t got any set of tools to manage it.
SQL concepts are familiar to a lot of people, but both MariaDB and MongoDB make the system easier to work with and can work with large amounts of data. Programming languages are unnecessary for managing data, as MariaDB and MongoDB make it simple to use. Consistency and availability ensure these databases stand out from others.