# Top 10 MariaDB Alternatives & Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 226
Explore the best alternatives to MariaDB for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to MariaDB include performance. The best overall MariaDB alternative is Microsoft SQL Server. Other similar apps like MariaDB are MySQL, Oracle Database, Amazon Relational Database Service (RDS), and IBM Db2. MariaDB alternatives can be found in [Relational Databases](https://www.g2.com/categories/relational-databases) but may also be in [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas).


## Best Paid & Free Alternatives to MariaDB
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  - [SQLite](https://www.g2.com/products/sqlite/reviews)
  - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
  - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

## Top 10 Alternatives to MariaDB Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how MariaDB stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Internet, and Marketing and Advertising, and find the best product for your business.


  ### 1. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,284
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.


Reviewers say compared to MariaDB, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs Microsoft SQL Server](https://www.g2.com/compare/mariadb-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Microsoft SQL Server vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Microsoft SQL Server vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-microsoft-sql-server)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SQLite](https://www.g2.com/compare/microsoft-sql-server-vs-sqlite)
- [Microsoft SQL Server vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SAP HANA Cloud](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)

  ### 2. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,680
MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications.


Reviewers say compared to MariaDB, MySQL is:
- More expensive
- Easier to do business with
- Better at support
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs MySQL](https://www.g2.com/compare/mariadb-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [MySQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-mysql)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [MySQL vs SQLite](https://www.g2.com/compare/mysql-vs-sqlite)
- [MySQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql)
- [MySQL vs SAP HANA Cloud](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)

  ### 3. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,012
Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms.


Reviewers say compared to MariaDB, Oracle Database is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs Oracle Database](https://www.g2.com/compare/mariadb-vs-oracle-database)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Oracle Database vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Oracle Database vs SQLite](https://www.g2.com/compare/oracle-database-vs-sqlite)
- [Oracle Database vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-oracle-database)
- [Oracle Database vs SAP HANA Cloud](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)

  ### 4. [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.5/5
**Total Reviews:** 908
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.


Reviewers say compared to MariaDB, Amazon Relational Database Service (RDS) is:
- More expensive
- Slower to reach roi
- Easier to do business with
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mariadb)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [Amazon Relational Database Service (RDS) vs Microsoft SQL Server](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Amazon Relational Database Service (RDS) vs MySQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [Amazon Relational Database Service (RDS) vs Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Amazon Relational Database Service (RDS) vs IBM Db2](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2)
- [Amazon Relational Database Service (RDS) vs PostgreSQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [Amazon Relational Database Service (RDS) vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [Amazon Relational Database Service (RDS) vs SQLite](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sqlite)
- [Amazon Relational Database Service (RDS) vs Google Cloud SQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-sql)
- [Amazon Relational Database Service (RDS) vs SAP HANA Cloud](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01)

  ### 5. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
By IBM
**Average Rating:** 4.1/5
**Total Reviews:** 682
IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs.


Reviewers say compared to MariaDB, IBM Db2 is:
- Slower to reach roi
- More expensive
- Better at support
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-mariadb)
**Compare IBM Db2 with other alternatives:**
- [IBM Db2 vs Microsoft SQL Server](https://www.g2.com/compare/ibm-db2-vs-microsoft-sql-server)
- [IBM Db2 vs MySQL](https://www.g2.com/compare/ibm-db2-vs-mysql)
- [IBM Db2 vs Oracle Database](https://www.g2.com/compare/ibm-db2-vs-oracle-database)
- [IBM Db2 vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2)
- [IBM Db2 vs PostgreSQL](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [IBM Db2 vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-ibm-db2)
- [IBM Db2 vs SQLite](https://www.g2.com/compare/ibm-db2-vs-sqlite)
- [IBM Db2 vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-ibm-db2)
- [IBM Db2 vs SAP HANA Cloud](https://www.g2.com/compare/ibm-db2-vs-sap-hana-cloud-2025-10-01)

  ### 6. [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
By PostgreSQL
**Average Rating:** 4.4/5
**Total Reviews:** 683
PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently.


Reviewers say compared to MariaDB, PostgreSQL is:
- Easier to do business with
- More expensive
- Better at meeting requirements
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs PostgreSQL](https://www.g2.com/compare/mariadb-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [PostgreSQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [PostgreSQL vs SQLite](https://www.g2.com/compare/postgresql-vs-sqlite)
- [PostgreSQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [PostgreSQL vs SAP HANA Cloud](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)

  ### 7. [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.5/5
**Total Reviews:** 457
Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.


Reviewers say compared to MariaDB, Amazon Aurora is:
- More expensive
- Better at support
- Easier to do business with
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mariadb)
**Compare Amazon Aurora with other alternatives:**
- [Amazon Aurora vs Microsoft SQL Server](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Amazon Aurora vs MySQL](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [Amazon Aurora vs Oracle Database](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Amazon Aurora vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [Amazon Aurora vs IBM Db2](https://www.g2.com/compare/amazon-aurora-vs-ibm-db2)
- [Amazon Aurora vs PostgreSQL](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [Amazon Aurora vs SQLite](https://www.g2.com/compare/amazon-aurora-vs-sqlite)
- [Amazon Aurora vs Google Cloud SQL](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql)
- [Amazon Aurora vs SAP HANA Cloud](https://www.g2.com/compare/amazon-aurora-vs-sap-hana-cloud-2025-10-01)

  ### 8. [SQLite](https://www.g2.com/products/sqlite/reviews)
By SQLite
**Average Rating:** 4.3/5
**Total Reviews:** 261
SQLite is a C-language library that provides a self-contained, serverless, and zero-configuration SQL database engine. Renowned for its small footprint and high reliability, SQLite is the most widely deployed database engine globally, embedded in billions of devices and applications. Its cross-platform database file format ensures seamless data transfer across different systems, making it a preferred choice for developers seeking an efficient and dependable database solution. Key Features and Functionality: - Self-Contained and Serverless: Operates without a separate server process, reading and writing directly to disk files. - Zero-Configuration: Requires no setup or administration, facilitating easy integration into applications. - Full-Featured SQL Implementation: Supports advanced capabilities like partial indexes, indexes on expressions, JSON, common table expressions, and window functions. - Single-File Database: Stores the entire database, including multiple tables, indices, triggers, and views, in a single cross-platform disk file. - Scalability: Handles databases up to 281 terabytes and supports row sizes up to 1 gigabyte. - Compact Size: With all features enabled, the library size can be less than 900KiB, depending on the target platform and compiler optimization settings. - High Performance: In some cases, SQLite is faster than direct filesystem I/O. - Cross-Platform Compatibility: Supports various operating systems, including Android, iOS, Linux, Mac, and Windows. - Public Domain Source Code: The source code is in the public domain, allowing free use for any purpose. Primary Value and User Solutions: SQLite offers a lightweight, reliable, and easy-to-use database solution that eliminates the complexities associated with traditional database management systems. Its serverless architecture and zero-configuration setup make it ideal for applications where simplicity and efficiency are paramount. By storing data in a single file, SQLite simplifies data management and portability, addressing the needs of developers and organizations seeking a robust database engine without the overhead of a full-fledged RDBMS.


Reviewers say compared to MariaDB, SQLite is:
- Slower to reach roi
- Easier to admin
- Easier to set up
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs SQLite](https://www.g2.com/compare/mariadb-vs-sqlite)
**Compare SQLite with other alternatives:**
- [SQLite vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-sqlite)
- [SQLite vs MySQL](https://www.g2.com/compare/mysql-vs-sqlite)
- [SQLite vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sqlite)
- [SQLite vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sqlite)
- [SQLite vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-sqlite)
- [SQLite vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sqlite)
- [SQLite vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-sqlite)
- [SQLite vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-sqlite)
- [SQLite vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-sqlite)

  ### 9. [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 366
Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.


Reviewers say compared to MariaDB, Google Cloud SQL is:
- More expensive
- Better at support
- Easier to do business with
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mariadb)
**Compare Google Cloud SQL with other alternatives:**
- [Google Cloud SQL vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server)
- [Google Cloud SQL vs MySQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql)
- [Google Cloud SQL vs Oracle Database](https://www.g2.com/compare/google-cloud-sql-vs-oracle-database)
- [Google Cloud SQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-sql)
- [Google Cloud SQL vs IBM Db2](https://www.g2.com/compare/google-cloud-sql-vs-ibm-db2)
- [Google Cloud SQL vs PostgreSQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [Google Cloud SQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql)
- [Google Cloud SQL vs SQLite](https://www.g2.com/compare/google-cloud-sql-vs-sqlite)
- [Google Cloud SQL vs SAP HANA Cloud](https://www.g2.com/compare/google-cloud-sql-vs-sap-hana-cloud-2025-10-01)

  ### 10. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
By SAP
**Average Rating:** 4.3/5
**Total Reviews:** 621
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.


Reviewers say compared to MariaDB, SAP HANA Cloud is:
- Slower to reach roi
- More expensive
- Easier to do business with
Categories in common with MariaDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [MariaDB vs SAP HANA Cloud](https://www.g2.com/compare/mariadb-vs-sap-hana-cloud-2025-10-01)
**Compare SAP HANA Cloud with other alternatives:**
- [SAP HANA Cloud vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs MySQL](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-sap-hana-cloud-2025-10-01)
- [SAP HANA Cloud vs SQLite](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-sqlite)
- [SAP HANA Cloud vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-sap-hana-cloud-2025-10-01)


---
## MariaDB Alternatives FAQs

### What are the best alternatives to MariaDB?

The best alternatives to MariaDB according to G2 user reviews and ratings include [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) (4.4/5 stars, 2283 reviews), [MySQL](https://www.g2.com/products/mysql/reviews) (4.4/5 stars, 1676 reviews), [Oracle Database](https://www.g2.com/products/oracle-database/reviews) (4.3/5 stars, 1010 reviews), [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) (4.5/5 stars, 908 reviews), [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) (4.1/5 stars, 682 reviews), [PostgreSQL](https://www.g2.com/products/postgresql/reviews) (4.4/5 stars, 682 reviews), [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) (4.5/5 stars, 457 reviews), [SQLite](https://www.g2.com/products/sqlite/reviews) (4.3/5 stars, 261 reviews), [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) (4.5/5 stars, 366 reviews), and [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) (4.3/5 stars, 621 reviews). These alternatives are highly rated and widely reviewed, offering a range of features and deployment options.



### Which Relational Databases tools do reviewers recommend instead of MariaDB?

Reviewers recommend alternatives such as [MySQL](https://www.g2.com/products/mysql/reviews) for its comprehensive feature set including transactional data dictionary, JSON support, and ease of use with 1676 reviews and a 4.4-star rating. [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) is favored for its industry-leading performance, security features, and integration capabilities with 2283 reviews at 4.4 stars. [Oracle Database](https://www.g2.com/products/oracle-database/reviews) is recommended for its multi-model support, advanced analytics, and high availability with 1010 reviews at 4.3 stars. Cloud-based options like [Amazon RDS](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) and [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) are praised for ease of administration, scalability, and managed services with ratings of 4.5 stars across 908 and 457 reviews respectively. [PostgreSQL](https://www.g2.com/products/postgresql/reviews) is noted for its extensibility, reliability, and advanced SQL compliance with 682 reviews at 4.4 stars. Reviewers highlight that these alternatives often provide better support, easier administration, and broader feature sets compared to MariaDB, making them preferred choices depending on specific business needs and scale.



### How does MariaDB compare to MS SQL?

According to G2 data, [MariaDB](https://www.g2.com/products/mariadb/reviews) and [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) both hold an average rating of 4.4 out of 5, with MS SQL having a significantly larger review base (2,283 reviews) compared to MariaDB's 226. MS SQL scores slightly higher in meeting requirements (9.0 vs 8.9) and better support (8.3 vs 7.9), while MariaDB leads in ease of setup (8.7 vs 8.1) and usability (8.9 vs 8.6). MS SQL has a 0.1-point lower score in ease of administration (8.3 vs 8.4) and 0.3 points higher in ease of doing business with (8.4 vs 8.1). User reviews highlight MariaDB's strengths in cost efficiency, open-source nature, ease of integration, and fast query performance, especially for large datasets. However, users note challenges with initial setup complexity, limited features compared to enterprise solutions, and occasional integration issues. MS SQL users emphasize its robust performance, enterprise-grade security features like Transparent Data Encryption and row-level security, extensive integration with Microsoft tools (Azure, Power BI, SSMS), and strong support for complex queries and high concurrency workloads. The main drawbacks cited are high licensing costs, resource intensity, and a steeper learning curve for advanced features. Overall, MariaDB is favored for cost-effective, open-source deployments with solid performance and ease of setup, while MS SQL is preferred for enterprise environments requiring advanced security, comprehensive tooling, and seamless Microsoft ecosystem integration, despite higher costs and resource demands.



### Why do users choose MS SQL over MariaDB?

Users choose [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) over MariaDB primarily for its enterprise-grade capabilities and integration within the Microsoft ecosystem. With 2,283 reviews citing ease of use, performance, and robust security features, MS SQL offers advanced functionalities such as Transparent Data Encryption, row-level security, dynamic data masking, and high availability options like Always On Availability Groups. Its mature tooling, including SQL Server Management Studio and Azure Data Studio, simplifies database management, performance tuning, and troubleshooting. MS SQL's seamless integration with Microsoft products like Azure, Power BI, Excel, and .NET enhances data pipelines, reporting, and cloud migration workflows, making it a practical choice for organizations heavily invested in Microsoft technologies. Users also value its strong support for complex queries, indexing strategies, and enterprise-level scalability. Despite its higher licensing costs and resource requirements, MS SQL's reliability, comprehensive feature set, and extensive support network make it the preferred option for businesses needing a powerful, secure, and scalable database platform that aligns with their existing Microsoft infrastructure and enterprise demands.




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