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Amazon RDS vs Apache Aurora: What are the differences?

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; Apache Aurora: An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter. Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

Amazon RDS and Apache Aurora are primarily classified as "SQL Database as a Service" and "Cluster Management" tools respectively.

Some of the features offered by Amazon RDS are:

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

On the other hand, Apache Aurora provides the following key features:

  • Deployment and scheduling of jobs
  • The abstraction a “job” to bundle and manage Mesos tasks
  • A rich DSL to define services

Apache Aurora is an open source tool with 616 GitHub stars and 231 GitHub forks. Here's a link to Apache Aurora's open source repository on GitHub.

Airbnb, Netflix, and Coursera are some of the popular companies that use Amazon RDS, whereas Apache Aurora is used by Twitter, Oscar Health, and Medallia. Amazon RDS has a broader approval, being mentioned in 1437 company stacks & 526 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.

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Pros of Amazon RDS
Pros of Apache Aurora
  • 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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    - No public GitHub repository available -

    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.

    What is Apache Aurora?

    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

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

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    What are some alternatives to Amazon RDS and Apache Aurora?
    Amazon Redshift
    It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
    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.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Heroku Postgres
    Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
    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.
    See all alternatives