Azure SQL Database vs MariaDB

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Azure SQL Database

Stacks585

Followers502

Votes13

Azure SQL Database vs MariaDB: What are the differences?

Introduction:

Azure SQL Database and MariaDB are both popular relational database management systems. However, they have several key differences that set them apart. Below are six specific differences between Azure SQL Database and MariaDB.

Scalability and Elasticity: Azure SQL Database offers built-in scalability and elasticity features that allow it to handle variable workloads. It can automatically scale resources based on demand, ensuring optimal performance. On the other hand, while MariaDB can be scaled horizontally by adding more instances, it requires manual configuration and management.
Pricing Model: Azure SQL Database follows a pay-as-you-go pricing model, where you pay for the resources and storage you use. It offers different tiers with varying capabilities. In contrast, MariaDB is open source and free to use. However, there may be additional costs for support or third-party tools.
Backup and Recovery: Azure SQL Database provides automated backups with point-in-time restore capabilities. It allows for the restoration of data to a specific point in time, ensuring data resilience. MariaDB also offers backup and recovery mechanisms, but they need to be manually configured and managed.
High Availability: Azure SQL Database ensures high availability through automatic failover and built-in disaster recovery mechanisms. It replicates data across multiple nodes and provides geo-redundancy options for business continuity. MariaDB requires additional configuration and management for replication and failover, although it does offer support for high availability setups.
Managed Service vs. Self-Managed: Azure SQL Database is a managed service provided by Microsoft. It takes care of infrastructure management, patching, and maintenance, allowing developers to focus on application development. MariaDB is a self-managed database system where the responsibility of infrastructure and maintenance lies with the user or the hosting provider.
Enterprise Features: Azure SQL Database offers several enterprise features like advanced security capabilities, built-in analytics, and integration with other Azure services. It provides options for data masking, row-level security, and more. While MariaDB also offers various features, it may require additional plugins or configurations to achieve similar functionality.

In summary, Azure SQL Database stands out with its built-in scalability, automatic backups, high availability, and managed service approach, while MariaDB offers free usage, flexibility, and open-source nature. The choice between the two depends on the specific requirements, budget, and preference of the user.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on MariaDB, Azure SQL Database

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

Detailed Comparison

MariaDB	Azure SQL 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.	It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
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 585
Followers 12.8K	Followers 502
Votes 468	Votes 13
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	Pros 6 Managed 4 Secure 3 Scalable

What are some alternatives to MariaDB, Azure SQL Database?

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.

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

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

Azure SQL Database vs MariaDB: What are the differences?

Introduction:

Scalability and Elasticity: Azure SQL Database offers built-in scalability and elasticity features that allow it to handle variable workloads. It can automatically scale resources based on demand, ensuring optimal performance. On the other hand, while MariaDB can be scaled horizontally by adding more instances, it requires manual configuration and management.
Pricing Model: Azure SQL Database follows a pay-as-you-go pricing model, where you pay for the resources and storage you use. It offers different tiers with varying capabilities. In contrast, MariaDB is open source and free to use. However, there may be additional costs for support or third-party tools.
Backup and Recovery: Azure SQL Database provides automated backups with point-in-time restore capabilities. It allows for the restoration of data to a specific point in time, ensuring data resilience. MariaDB also offers backup and recovery mechanisms, but they need to be manually configured and managed.
High Availability: Azure SQL Database ensures high availability through automatic failover and built-in disaster recovery mechanisms. It replicates data across multiple nodes and provides geo-redundancy options for business continuity. MariaDB requires additional configuration and management for replication and failover, although it does offer support for high availability setups.
Managed Service vs. Self-Managed: Azure SQL Database is a managed service provided by Microsoft. It takes care of infrastructure management, patching, and maintenance, allowing developers to focus on application development. MariaDB is a self-managed database system where the responsibility of infrastructure and maintenance lies with the user or the hosting provider.
Enterprise Features: Azure SQL Database offers several enterprise features like advanced security capabilities, built-in analytics, and integration with other Azure services. It provides options for data masking, row-level security, and more. While MariaDB also offers various features, it may require additional plugins or configurations to achieve similar functionality.

Azure SQL Database vs MariaDB

Overview