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  4. Amazon RDS for Aurora vs MariaDB

Amazon RDS for Aurora vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.6K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Amazon Aurora
Amazon Aurora
Stacks819
Followers744
Votes55

Amazon RDS for Aurora vs MariaDB: What are the differences?

Amazon RDS for Aurora and MariaDB are two popular database options for website development. Here are the key differences that set them apart.

  1. Performance and Scalability: Amazon RDS for Aurora is designed to deliver fast performance, being up to five times faster than standard MySQL databases. It achieves this through a distributed storage system and an optimized query execution engine. On the other hand, MariaDB offers good performance as well, but it may not match the speed and scalability provided by Aurora.

  2. High Availability and Fault Tolerance: Amazon RDS for Aurora offers automatic database backups and replication across multiple Availability Zones to ensure high availability and fault tolerance. In the event of a failure, the database can automatically failover to a replica to minimize downtime. MariaDB also provides options for replication and backups, but the fault tolerance capabilities may not be as robust as those offered by Aurora.

  3. Compatibility: Amazon RDS for Aurora is designed to be compatible with MySQL, which means that existing MySQL applications and tools can be seamlessly migrated to Aurora. MariaDB, on the other hand, is a fork of MySQL and may have some differences in functionality and syntax. This means that migrating from MySQL to MariaDB or vice versa may require some adjustments to the code.

  4. Pricing: Pricing for Amazon RDS for Aurora and MariaDB can differ. Amazon RDS for Aurora has its own pricing structure, which includes different options for database instance sizes and storage. MariaDB, on the other hand, is an open-source database and does not have any additional licensing costs. However, there may be costs associated with running MariaDB on cloud hosting providers.

  5. Backup and Restore: Amazon RDS for Aurora offers automated backups and point-in-time recovery, allowing you to easily restore your database to a specific point in time. It also provides the option for continuous backups that allow you to recover your database with minimal data loss. MariaDB also supports backups and restores, but the process may require more manual intervention and configuration.

  6. Community and Support: Amazon RDS for Aurora is a managed service provided by Amazon Web Services (AWS), which means that you can rely on AWS for technical support and assistance. MariaDB, being an open-source database, has a strong community of users and developers who provide support. However, the level of support may vary compared to a managed service like Aurora.

In summary, Amazon RDS for Aurora offers superior performance, high availability, and compatibility with MySQL, while MariaDB provides a more cost-effective option and has a strong open-source community support.

Advice on MariaDB, Amazon Aurora

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

Detailed Comparison

MariaDB
MariaDB
Amazon Aurora
Amazon Aurora

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.

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.6K
Stacks
819
Followers
12.8K
Followers
744
Votes
468
Votes
55
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
Cons
  • 2
    Vendor locking
  • 1
    Rigid schema
Integrations
No integrations available
PostgreSQL
PostgreSQL
MySQL
MySQL

What are some alternatives to MariaDB, Amazon Aurora?

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.

Amazon RDS

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

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.

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