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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.
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.
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.
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.
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.
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.
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.
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
Pros of Amazon Aurora
- MySQL compatibility14
- Better performance12
- Easy read scalability10
- Speed9
- Low latency read replica7
- High IOPS cost2
- Good cost performance1
Pros of DigitalOcean Managed Databases
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Cons of Amazon Aurora
- Vendor locking2
- Rigid schema1