Amazon Aurora vs MariaDB

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Amazon Aurora

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MariaDB

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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 Amazon Aurora and MariaDB
Maxim Ryakhovskiy
Needs advice
on
MariaDBMariaDBMongooseMongoose
and
PostgreSQLPostgreSQL

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.

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Replies (7)
Reza Malek
at Meam Software Engineering Group · | 4 upvotes · 217.7K views
Recommends
on
MongooseMongoosePostgreSQLPostgreSQL

Your requirements seem nothing special. on the other hand, MongoDB is commonly used with Node. you could use Mongo without defining a Schema, does it give you any benefits? Also, note that development speed matters. In most cases RDBMS are the best choice, Learn and use Postgres for life!

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The use case you are describing would benefit from a self-hosted headless CMS like contentful. You can also go for Strapi with a database of your choice but here you would have to host Strapi and the underlying database (if not using SQLite) yourself. If you want to use Strapi, you can ease your work by using something like PlanetSCaleDB as the backing database for Strapi.

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Nutchanon Ninyawee

SQL is not so good at query lat long out of the box. you might need to use additional tools for that like UTM coordinates or Uber's H3.

If you use mongoDB, it support 2d coordinate query out of the box.

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Recommends
on
MongooseMongoose

Any database will be a great choice for your app, which is less of a technical challenge and more about great content. Go for it, the geographical search features maybe be actually handy for you.

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Tarun Batra
Senior Software Developer at Okta · | 2 upvotes · 210K views
Recommends
on
MongooseMongoose

MongoDB and Mongoose are commonly used with Node.js and the use case doesn't seem to be requiring any special considerations as of now. However using MongoDB now will allow you to easily expand and modify your use case in future.

If not MongoDB, then my second choice will be PostgreSQL. It's a generic purpose database with jsonb support (if you need it) and lots of resources online. Nobody was fired for choosing PostgreSQL.

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Václav Hodek
CEO, lead developer at Localazy · | 1 upvotes · 210.4K views
Recommends
on
PostgreSQLPostgreSQL

Any database engine should work well but I vote for Postgres because of PostGIS extension that may be handy for travel related site. There's nothing special about your requirements.

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Ruslan Rayanov
Recommends

Hi, Maxim! Most likely, the site is almost ready. But we would like to share our development with you. https://falcon.web-automation.ru/ This is a constructor for web application. With it, you can create almost any site with different roles which have different levels of access to information and different functionality. The platform is managed via sql. knowing sql, you will be able to change the business logic as necessary and during further project maintenance. We will be glad to hear your feedback about the platform.

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Decisions about Amazon Aurora and MariaDB
Omran Jamal
CTO & Co-founder at Bonton Connect · | 4 upvotes · 526K views

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)

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Pros of Amazon Aurora
Pros of MariaDB
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
  • 15
    Easy and fast
  • 14
    Lead developer is "monty" widenius the founder of mysql
  • 6
    Also an aws rds service
  • 4
    Consistent and robust
  • 4
    Learning curve easy
  • 2
    Native JSON Support / Dynamic Columns
  • 1
    Real Multi Threaded queries on a table/db

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Cons of Amazon Aurora
Cons of MariaDB
  • 2
    Vendor locking
  • 1
    Rigid schema
    Be the first to leave a con

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    - No public GitHub repository available -

    What is Amazon Aurora?

    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.

    What is MariaDB?

    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.

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