Amazon Aurora vs Amazon RDS vs Google Cloud SQL

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Amazon Aurora

762
676
+ 1
54
Amazon RDS

15K
9.4K
+ 1
759
Google Cloud SQL

523
547
+ 1
46
Decisions about Amazon Aurora, Amazon RDS, and Google Cloud SQL
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 18.6K 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
Pros of Google Cloud SQL
  • 14
    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
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Encryption at rest and transit
  • 3
    Automatic Software Patching
  • 3
    Replication across multiple zone by default

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Cons of Amazon Aurora
Cons of Amazon RDS
Cons of Google Cloud SQL
  • 2
    Vendor locking
  • 1
    Rigid schema
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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.

      What is Google Cloud SQL?

      Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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      What companies use Amazon Aurora?
      What companies use Amazon RDS?
      What companies use Google Cloud SQL?

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      What tools integrate with Amazon Aurora?
      What tools integrate with Amazon RDS?
      What tools integrate with Google Cloud SQL?

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      What are some alternatives to Amazon Aurora, Amazon RDS, and Google Cloud SQL?
      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.
      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.
      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.
      PlanetScaleDB
      It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.
      See all alternatives