Amazon Aurora vs DigitalOcean Managed Databases

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

Introduction

Amazon RDS for Aurora and DigitalOcean Managed Databases are both popular choices for managing relational databases in the cloud. However, there are key differences between these two services that may influence your decision when selecting a database management solution.

  1. Performance and Scalability: Amazon RDS for Aurora delivers a high-performance, MySQL-compatible database engine that is specifically designed for the cloud. It uses an SSD-backed storage layer and a distributed data storage system for improved performance and scalability. On the other hand, DigitalOcean Managed Databases offer a range of options for MySQL, PostgreSQL, and Redis databases, but they may not deliver the same level of performance and scalability as Amazon Aurora.

  2. Ease of Management: Amazon RDS for Aurora provides a fully managed database service, taking care of administrative tasks such as backups, software patching, and automatic failure detection and recovery. It offers automated scalability and replication, reducing the burden of manual management. In contrast, while DigitalOcean Managed Databases also offers automated backups, it may require more manual management for tasks like scaling and replication.

  3. Availability and Reliability: Amazon RDS for Aurora offers a highly available and durable database system by default. It replicates data across multiple Availability Zones (AZs) to provide fault tolerance and automated failover. DigitalOcean Managed Databases, on the other hand, do not have built-in multi-zone replication and failover capabilities like Aurora, which may impact its availability and reliability.

  4. Integration with other AWS services: Amazon RDS for Aurora seamlessly integrates with other AWS services, allowing you to leverage the full capabilities of the AWS ecosystem. For example, you can easily integrate with Amazon CloudWatch for monitoring, AWS Identity and Access Management (IAM) for access control, and AWS Database Migration Service for database migration. DigitalOcean Managed Databases may not offer the same level of integration with other cloud services.

  5. Pricing and Cost: Amazon RDS for Aurora offers a flexible pricing model, allowing you to choose between On-Demand instances, Reserved instances, and Aurora Serverless for cost optimization. It also offers a free tier for new customers. DigitalOcean Managed Databases have a straightforward pricing structure, but it may not provide the same level of cost optimization options as Amazon Aurora.

  6. Community and Support: Amazon RDS for Aurora benefits from the larger AWS community and support ecosystem, which includes extensive documentation, forums, and dedicated support channels. DigitalOcean also provides support options but may not have the same breadth and depth of community resources as AWS.

In summary, when choosing between Amazon RDS for Aurora and DigitalOcean Managed Databases, you should consider factors such as performance and scalability, ease of management, availability and reliability, integration with other services, pricing and cost, as well as community and support resources available.

Decisions about Amazon Aurora and DigitalOcean Managed Databases
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 28K 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 DigitalOcean Managed Databases
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
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    Cons of Amazon Aurora
    Cons of DigitalOcean Managed Databases
    • 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 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 Aurora?
      What companies use DigitalOcean Managed Databases?
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      What tools integrate with Amazon Aurora?
      What tools integrate with DigitalOcean Managed Databases?
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        What are some alternatives to Amazon Aurora and DigitalOcean Managed Databases?
        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.
        PostgreSQL
        PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Redis
        Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives