Amazon RDS for Aurora vs Google Cloud SQL

Amazon RDS for Aurora
Amazon RDS for Aurora

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Google Cloud SQL
Google Cloud SQL

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Amazon RDS for Aurora vs Google Cloud SQL: 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; Google Cloud SQL: Store and manage data using a fully-managed, relational MySQL database. 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.

Amazon RDS for Aurora and Google Cloud SQL can be categorized 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, Google Cloud SQL provides the following key features:

  • Familiar Infrastructure
  • Flexible Charging
  • Security, Availability, Durability

"MySQL compatibility " is the primary reason why developers consider Amazon RDS for Aurora over the competitors, whereas "Fully managed" was stated as the key factor in picking Google Cloud SQL.

StackShare, GoGuardian, and Akoova are some of the popular companies that use Amazon RDS for Aurora, whereas Google Cloud SQL is used by Implisit, Policygenius, and OTOBANK. Amazon RDS for Aurora has a broader approval, being mentioned in 116 company stacks & 30 developers stacks; compared to Google Cloud SQL, which is listed in 71 company stacks and 28 developer stacks.

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What is Amazon RDS for 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 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.

Want advice about which of these to choose?Ask the StackShare community!

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    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.
    ClearDB
    ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.
    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.
    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.
    TempoDB
    TempoDB is the first database service for time series data (ex: measuring thermostat temperatures, network latencies, heart rates). Time series is a unique Big Data problem that breaks traditional databases (MySQL, MongoDB, etc). Today, businesses spend months and millions attempting to build solutions to manage all this data and yet still fail to store as much as they need or analyze it effectively. TempoDB is a purpose-built database service that enables businesses to store and analyze massive streams of time series data, so they can learn from the past, understand the present, and predict the future.
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    What tools integrate with Amazon RDS for Aurora?
    What tools integrate with Google Cloud SQL?
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      How developers use Amazon RDS for Aurora and Google Cloud SQL
      Avatar of Secumail
      Secumail uses Amazon RDS for AuroraAmazon RDS for Aurora

      Managed MySQL clustered database so I dont have to deal with the required infrastructure

      Avatar of RedLine13
      RedLine13 uses Amazon RDS for AuroraAmazon RDS for Aurora

      Core database for managing users, teams, tests, and result summaries

      Avatar of Yaakov Gesher
      Yaakov Gesher uses Amazon RDS for AuroraAmazon RDS for Aurora

      We moved our database from compose.io to AWS for speed and price.

      Avatar of Bùi Thanh
      Bùi Thanh uses Amazon RDS for AuroraAmazon RDS for Aurora
      • Performance, HA and Scalable.
      • AutoScale replicas.
      Avatar of Casey Smith
      Casey Smith uses Google Cloud SQLGoogle Cloud SQL

      Back-end datastore.

      How much does Amazon RDS for Aurora cost?
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