Alternatives to Amazon Aurora logo

Alternatives to Amazon Aurora

Amazon RDS, Google Cloud SQL, Azure SQL Database, DigitalOcean Managed Databases, and Azure Database for MySQL are the most popular alternatives and competitors to Amazon Aurora.
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What is Amazon Aurora and what are its top alternatives?

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 Aurora is a tool in the SQL Database as a Service category of a tech stack.

Top Alternatives to Amazon Aurora

  • Amazon RDS
    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. ...

  • Google Cloud SQL
    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. ...

  • Azure SQL Database
    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
    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

    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
    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. ...

  • ClearDB
    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. ...

  • PlanetScaleDB
    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. ...

Amazon Aurora alternatives & related posts

Amazon RDS logo

Amazon RDS

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Set up, operate, and scale a relational database in the cloud.
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PROS OF AMAZON RDS
  • 164
    Reliable failovers
  • 155
    Automated backups
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    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
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    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
CONS OF AMAZON RDS
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    Ganesa Vijayakumar
    Full Stack Coder | Technical Lead · | 19 upvotes · 3M views

    I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

    I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

    As per my work experience and knowledge, I have chosen the followings stacks to this mission.

    UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

    Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

    Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

    Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

    Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

    Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

    Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

    Happy Coding! Suggestions are welcome! :)

    Thanks, Ganesa

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    John Kodumal

    As we've evolved or added additional infrastructure to our stack, we've biased towards managed services. Most new backing stores are Amazon RDS instances now. We do use self-managed PostgreSQL with TimescaleDB for time-series data—this is made HA with the use of Patroni and Consul.

    We also use managed Amazon ElastiCache instances instead of spinning up Amazon EC2 instances to run Redis workloads, as well as shifting to Amazon Kinesis instead of Kafka.

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    Google Cloud SQL logo

    Google Cloud SQL

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    Fully managed relational database service for MySQL, PostgreSQL, and SQL Server.
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    PROS OF GOOGLE CLOUD SQL
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      Fully managed
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      Backed by Google
    • 10
      SQL
    • 4
      Flexible
    • 3
      Encryption at rest and transit
    • 3
      Automatic Software Patching
    • 3
      Replication across multiple zone by default
    CONS OF GOOGLE CLOUD SQL
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      Suman Adhikari
      Full Stack (Founder) at Peuconomia Int'l Pvt. Ltd. · | 10 upvotes · 20.7K views

      We use Go for the first-off due to our knowledge of it. Second off, it's highly performant and optimized for scalability. We run it using dockerized containers for our backend REST APIs.

      For Frontend, we use React with Next.js at vercel. We use NextJS here mostly due to our need for Server Side Rendering and easier route management.

      For Database, we use MySQL as it is first-off free and always has been in use with us. We use Google Cloud SQL from GCP that manages its storage and versions along with HA.

      All stacks are free to use and get the best juice out of the system. We also use Redis for caching for enterprise-grade apps where data retrieval latency matters the most.

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      Ido Shamun
      at The Elegant Monkeys · | 6 upvotes · 33.7K views

      As far as the backend goes, we first had to decide which database will power most of Daily services. Considering relational databases vs document datbases, we decided that the relational model is a better fit for Daily as we have a lot of connections between the different entities. At the time MySQL was the only service available on Google Cloud SQL so this was out choice. In terms of #backend development Node.js powers most of our services, thanks to its amazing ecosystem there are a lot of modules publicly available to shorten the development time. Go is for the light services which are all about performance and delivering quickly the response, such as our redirector service.

      See more
      Azure SQL Database logo

      Azure SQL Database

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      Managed, intelligent SQL in the cloud
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      PROS OF AZURE SQL DATABASE
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        Managed
      • 3
        Secure
      • 2
        Scalable
      CONS OF AZURE SQL DATABASE
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        DigitalOcean Managed Databases logo

        DigitalOcean Managed Databases

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        Fully hosted and managed database engines for your applications, so you can focus on building, not patching
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        PROS OF DIGITALOCEAN MANAGED DATABASES
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          CONS OF DIGITALOCEAN MANAGED DATABASES
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            Azure Database for MySQL logo

            Azure Database for MySQL

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            Managed MySQL database service for app developers
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            PROS OF AZURE DATABASE FOR MYSQL
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                Books logo

                Books

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                An immutable double-entry accounting database service (by Square)
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                PROS OF BOOKS
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                    ClearDB logo

                    ClearDB

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                    Fault tolerant database-as-a-service in the cloud for your MySQL powered applications.
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                    PROS OF CLEARDB
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                      Cloud SQL
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                      Heroku
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                      Fast
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                      Great Backup
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                      Easy to use
                    • 2
                      Scalability
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                      Great Support
                    • 1
                      Geographic redundancy
                    • 1
                      Master / master replication
                    CONS OF CLEARDB
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                      Hi, I'm a beginner at using MySQL, I currently deployed my crud app on Heroku using the ClearDB add-on. I didn't see that coming, but the increased value of the primary key instead of being 1 is set to 10, and I cannot find a way to change it. Now I`m considering switching and deploying the full app and MySql to DigitalOcean any advice on that? Will I get the same issue? Thanks in advance!

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                      Sujith Kattathara Bhaskaran

                      Heroku is unable to handle payment issues arising due to Indian Reserve Bank's decision to stop recurring card payments. I am using the following Heroku services:

                      1. Web Dyno
                      2. Worker Dyno (Scheduler)
                      3. Cron To Go (Queue)
                      4. ClearDB (MySQL)
                      5. Heroku Redis (Queue Driver)

                      I have to migrate my Apache/ PHP/ Laravel/ HTML/ CSS/ jQuery/ MySQL application hosted on Heroku to a new provider. My current options visible are:

                      1. AWS Fargate
                      2. AWS Beanstalk
                      3. Quovery
                      4. Microsoft Azure
                      5. Laravel Vapor
                      6. Laravel Forge

                      Does anyone have any guidance on which of the above options (or any other option not identified above) is recommended for migrating away from Heroku? and why?

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                      PlanetScaleDB logo

                      PlanetScaleDB

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                      A fully managed cloud native database-as-a-service
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                      PROS OF PLANETSCALEDB
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                        CONS OF PLANETSCALEDB
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