What are the six best MariaDB al­tern­at­ives?

MariaDB is an open-source re­la­tion­al database system that ori­gin­ated as a fork of MySQL. With its efficient storage engines, it has become a highly popular and effective option. However, many al­tern­at­ive solutions offer unique features and benefits. This list high­lights re­com­men­ded MariaDB al­tern­at­ives, including both databases with a similar structure and NoSQL services, as well as in-memory DBs.

What is MariaDB and what al­tern­at­ives are available?

In the field of re­la­tion­al databases, MariaDB is one of the most popular database man­age­ment systems for mission-critical ap­plic­a­tions. Launched in 2009 in response to Oracle’s ac­quis­i­tion of MySQL, this open-source database system aims to provide a fully com­pat­ible but in­de­pend­ently developed al­tern­at­ive. Existing MySQL tools and clients work unchanged with MariaDB, making migration very easy. MariaDB is available under the GNU General Public Licence Version 2 (GPLv2), giving users the right to use it for free, modify the source code, and freely dis­trib­ute updates.

MariaDB’s strengths lie in its wide range of features that go far beyond the classic re­la­tion­al approach. Its extensive engine ecosystem allows the database to be adapted to various workloads – from tra­di­tion­al OLTP scenarios to big data analyses. Features including Window Functions, Common Table Ex­pres­sions (CTEs), and JSON documents ensure that both complex queries and modern data models can be im­ple­men­ted.

With Galera Cluster, MariaDB offers a robust solution for multi-master rep­lic­a­tion (high avail­ab­il­ity) and load balancing. In­teg­rated security mech­an­isms such as data en­cryp­tion at rest, role-based access controls, and regular security updates ensure a high level of pro­tec­tion. Companies also benefit from flexible scaling options and a robust ar­chi­tec­ture that combines per­form­ance, avail­ab­il­ity, and ease of main­ten­ance.

MongoDB

MariaDB, as a re­la­tion­al database, primarily manages struc­tured tabular data. Whereas a document-oriented NoSQL al­tern­at­ive like MongoDB is better suited to scenarios with variable schemas or massively het­ero­gen­eous data types. The system stores data – whether struc­tured, semi-struc­tured, or un­struc­tured – as col­lec­tions in flexible BSON documents (binary JSON documents), therefore avoiding rigid schemas. New fields can be added at any time without migrating existing datasets, which allows for quick releases and iterative ex­ten­sions in agile projects.

MongoDB dis­trib­utes datasets across multiple server nodes with automatic sharding, which increases both avail­ab­il­ity and fault tolerance. Thanks to native ho­ri­zont­al scaling, MongoDB ef­fort­lessly handles growing data volumes. Whether it’s ar­ti­fi­cial in­tel­li­gence, content man­age­ment, mobile apps, or edge computing, as a MariaDB al­tern­at­ive, MongoDB is first-rate if flex­ib­il­ity, schema freedom, and linear scalab­il­ity are pri­or­it­ies.

Overview of ad­vant­ages of MongoDB

• Ho­ri­zont­al scaling, the­or­et­ic­ally unlimited
• High avail­ab­il­ity and fault tolerance
• High flex­ib­il­ity (variable data struc­tures without migration effort)
• Ideal for large and in­creas­ing data volumes
• Com­pat­ib­il­ity with various languages, systems, and platforms
• Simple rep­lic­a­tion mech­an­isms
• Committed community and strong ecosystem

MySQL

Although MariaDB, as a fork, brings ad­di­tion­al engines and modern features, MySQL continues to be seen as the es­tab­lished standard solution for classic re­la­tion­al workloads. This database system is available as open-source software and as an en­ter­prise version across various platforms. Since its ac­quis­i­tion by Oracle in 2010, MySQL has been con­tinu­ously expanded with per­form­ance op­tim­isa­tions and en­ter­prise func­tion­al­it­ies. By default, the database uses the ACID-compliant InnoDB engine, which offers trans­ac­tion safety and foreign key support, but also provides other engines like MyISAM, CSV, and Memory for spe­cial­ised use cases.

This MariaDB al­tern­at­ive scores highly thanks to features like source-replica, multi-master clus­ter­ing (group rep­lic­a­tion), par­ti­tion­ing, and automatic failover. Its broad language and platform support (such as for Java, Python, and PHP) ensures numerous in­teg­ra­tion pos­sib­il­it­ies, while extensive doc­u­ment­a­tion and a well-es­tab­lished community help provide quick support. MySQL is primarily used as a data storage solution for various web services and handles both small projects and large data warehouse scenarios.

Overview of ad­vant­ages of MySQL

• Open source (but also available as an en­ter­prise version)
• Very clear and beginner-friendly
• High re­li­ab­il­ity and avail­ab­il­ity
• Various scaling options
• Numerous storage engines available
• Com­pat­ib­il­ity with many platforms, systems, and languages
• Extensive doc­u­ment­a­tion and a large, active community
• Part of the LAMP stack standard (Linux, Apache, MySQL, and PHP)

Post­gr­eSQL

The object-re­la­tion­al database Post­gr­eSQL is a powerful al­tern­at­ive to MariaDB when complex data models or advanced SQL func­tion­al­it­ies are needed. Since its initial release in 1996, the open-source system has been con­tinu­ously developed. Thanks to Mul­tiver­sion Con­cur­rency Control (MVCC), Post­gr­eSQL maintains excellent per­form­ance even under high load and guar­an­tees full ACID com­pli­ance.

A central feature of Post­gr­eSQL is its modular ex­tens­ib­il­ity: The Ex­ten­sions Framework allows the addition of various modules – such as PostGIS for geodata, Times­caleDB for time series, or Citus for dis­trib­uted tables – without modifying the core. Ad­di­tion­ally, users have the option to implement custom data types, their own operators, and stored pro­ced­ures. Therefore, Post­gr­eSQL is ideal for ana­lyt­ic­al workloads, geo-ap­plic­a­tions, and hybrid scenarios, where MariaDB might face lim­it­a­tions due to its strict re­la­tion­al approach.

Overview of ad­vant­ages of Post­gr­eSQL

• Very robust and secure open-source database
• High-class per­form­ance
• Wide range of scaling options
• Large selection of ex­ten­sions
• Very versatile
• Highly engaged community
• Numerous in­ter­faces

SQLite

SQLite is a library with an in­teg­rated re­la­tion­al database system. This server­less database is unique in that it stores all data and the complete schema in a single file, elim­in­at­ing the need for a separate database service. There’s no re­quire­ment to install or configure SQLite, and ad­min­is­tra­tion is nearly non-existent. Another dis­tinct­ive feature is the small size of the library, which is only a few hundred kilobytes. SQLite supports most SQL commands and is com­pat­ible with most common data storage systems.

Typical use cases for this MariaDB al­tern­at­ive include embedded devices and the Internet of Things (IoT), websites, data analysis, and ap­plic­a­tion file formats for desktop programs. Since SQLite databases can be easily exchanged across different systems, de­velopers often use them as a found­a­tion for their software.

Overview of ad­vant­ages of SQLite

• Server­less operation
• Minimal ad­min­is­trat­ive effort (no in­stall­a­tion, con­fig­ur­a­tion, or ongoing main­ten­ance required)
• Compact library – only a few hundred kilobytes in size
• Port­ab­il­ity
• Very reliable and fail-safe
• Easy backups
• Broad support for languages

Apache Cassandra

Unlike the other MariaDB al­tern­at­ives, Apache Cassandra is a column-based NoSQL database designed for managing large and het­ero­gen­eous databases. Since its open-source debut in 2008, it has relied on a de­cent­ral­ised peer-to-peer ar­chi­tec­ture and auto­mat­ic­ally dis­trib­utes data across multiple nodes to guarantee maximum fail-safety and high avail­ab­il­ity. The Cassandra Query Language (CQL), which is based on SQL, makes it easier for users of re­la­tion­al systems to get started. Likewise, the column-based storage model enables massive read and write through­put. Although Cassandra only offers partial ACID com­pli­ance, con­fig­ur­able con­sist­ency levels ensure that data integrity is main­tained.

Overview of ad­vant­ages of Apache Cassandra

• Open source
• Scalable both ho­ri­zont­ally and ver­tic­ally
• Dis­rup­tion-free per­form­ance through dis­trib­uted data storage
• Query language CQL with familiar SQL syntax
• Con­fig­ur­able con­sist­ency models with selected ACID prop­er­ties
• Schema-free design for maximum ad­apt­ab­il­ity
• Optimised for very high through­put rates and low latencies

Redis

Redis is an in-memory database and serves as a powerful MariaDB al­tern­at­ive when extremely low latencies and high data through­put are pri­or­it­ised. Instead of storing data on disks, Redis keeps all key-values directly in memory, allowing access times of under a mil­li­second. As the database supports a variety of data types, complex workloads can be rep­res­en­ted.

The database’s biggest ad­vant­ages are its high read speed and scalab­il­ity options – namely vertical scaling through RAM expansion and ho­ri­zont­al scaling using Redis Cluster. The system is primarily used for real-time analysis, ad­min­is­trat­ive tasks, and message trans­mis­sion. However, for working with complex data, a different MariaDB al­tern­at­ive is re­com­men­ded.

Overview of ad­vant­ages of Redis

• Open source
• Extremely low latency
• Offers ho­ri­zont­al and vertical scaling options
• User-friendly design
• Real-time insights with response times under one mil­li­second
• Com­pre­hens­ive doc­u­ment­a­tion resources
• Dynamic handling of various data types
• Cross-platform and language in­de­pend­ent