Amazon Aurora vs Amazon RDS

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Amazon Aurora

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Amazon RDS

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

Amazon RDS for Aurora: MySQL and PostgreSQL compatible relational database with several times 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; Amazon RDS: Set up, operate, and scale a relational database in the cloud. 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.

Amazon RDS for Aurora and Amazon RDS can be primarily classified as "SQL Database as a Service" tools.

Some of the features offered by Amazon RDS for Aurora are:

  • High Throughput with Low Jitter
  • Push-button Compute Scaling
  • Storage Auto-scaling

On the other hand, Amazon RDS provides the following key features:

  • Pre-configured Parameters
  • Monitoring and Metrics
  • Automatic Software Patching

"MySQL compatibility " is the top reason why over 11 developers like Amazon RDS for Aurora, while over 163 developers mention "Reliable failovers" as the leading cause for choosing Amazon RDS.

Airbnb, Netflix, and Coursera are some of the popular companies that use Amazon RDS, whereas Amazon RDS for Aurora is used by Medium, StackShare, and Zumba. Amazon RDS has a broader approval, being mentioned in 1435 company stacks & 526 developers stacks; compared to Amazon RDS for Aurora, which is listed in 121 company stacks and 31 developer stacks.

Decisions about Amazon Aurora and Amazon RDS
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 10.3K views

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Pros of Amazon Aurora
Pros of Amazon RDS
  • 13
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 8
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 164
    Reliable failovers
  • 155
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation

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

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    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 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Aurora?
    What companies use Amazon RDS?
    See which teams inside your own company are using Amazon Aurora or Amazon RDS.
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    What tools integrate with Amazon Aurora?
    What tools integrate with Amazon RDS?

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    What are some alternatives to Amazon Aurora and Amazon RDS?
    Google Cloud SQL
    MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
    Azure SQL Database
    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.
    DigitalOcean Managed Databases
    Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.
    Books
    It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.
    Azure Database for MySQL
    Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.
    See all alternatives