Amazon RDS vs DigitalOcean Managed Databases

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Amazon RDS vs DigitalOcean Managed Databases: What are the differences?

Introduction

In this article, we will compare the key differences between Amazon RDS and DigitalOcean Managed Databases.

  1. Scalability: One major difference between Amazon RDS and DigitalOcean Managed Databases is the scalability options they offer. With Amazon RDS, you can easily scale your database by increasing or decreasing the compute and storage resources. It provides automatic scaling capabilities based on your workload and requirements. On the other hand, DigitalOcean Managed Databases do not offer automatic scaling. However, you can manually resize your database cluster by upgrading to a higher plan with more resources.

  2. Cloud Provider: Amazon RDS is a managed database service offered by Amazon Web Services (AWS), while DigitalOcean Managed Databases is a similar service provided by DigitalOcean. As a result, each service operates on separate cloud platforms with their own specific features and capabilities. It is essential to consider the overall cloud ecosystem and tools offered by each provider when making a decision.

  3. Database Support: Amazon RDS supports a wide range of database engines including Amazon Aurora, MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. It provides a comprehensive set of tools and features specific to each database engine. On the other hand, DigitalOcean Managed Databases currently only supports PostgreSQL and MySQL as database options. While these two database engines are widely used, it may be a limiting factor if you require other database engines for your application.

  4. Pricing Model: The pricing models of Amazon RDS and DigitalOcean Managed Databases differ in some aspects. Amazon RDS offers multiple pricing options, including On-Demand instances, Reserved instances, and Provisioned IOPS. Additionally, you can choose to pay as you go or opt for long-term contracts for cost optimization. DigitalOcean Managed Databases, on the other hand, follow a straightforward pricing model based on clusters, instances, and storage used. It is important to consider the specific pricing requirements and cost structures that align with your budget and application needs.

  5. Managed Operations: Amazon RDS provides a range of managed operations, including automated backups, software patching, database monitoring, and performance optimization. It handles routine administrative tasks, allowing you to focus on your applications rather than infrastructure management. DigitalOcean Managed Databases also offer similar managed operations, such as automated backups and monitoring, but the feature set may not be as extensive as Amazon RDS. It is necessary to evaluate the specific managed operations offered by each service based on your operational requirements.

  6. Community and Support: Amazon RDS benefits from being part of the extensive AWS ecosystem, providing access to a large community of users, comprehensive documentation, and active customer support. It offers a wealth of resources for troubleshooting issues, learning, and staying up-to-date with the latest developments. While DigitalOcean also has an active community and provides support, it may not have the same level of resources and support options compared to Amazon RDS.

In summary, the key differences between Amazon RDS and DigitalOcean Managed Databases lie in scalability options, cloud provider, database support, pricing model, managed operations, and community/support resources available. Consider your specific requirements and preferences before choosing the appropriate managed database service for your application.

Decisions about Amazon RDS and DigitalOcean Managed Databases
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 25.8K 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 RDS
Pros of DigitalOcean Managed Databases
  • 165
    Reliable failovers
  • 156
    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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    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 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.

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    What companies use Amazon RDS?
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      What are some alternatives to Amazon RDS and DigitalOcean Managed Databases?
      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.
      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.
      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.
      See all alternatives