Overview

Amazon Aurora

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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.

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.

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Advice on Amazon Aurora, DigitalOcean Managed Databases

Phillip

Developer at Coach Align

Mar 18, 2021

Decided

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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Detailed Comparison

Amazon Aurora	DigitalOcean Managed Databases
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.	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.
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics	Multi-node database clustering;Automated failover support;Daily backups with Point in Time Recovery (7 days);Horizontal read scaling;Data encrypted on disk and network;Performance graphs (per minute);Multiple logical databases per cluster;Database cluster forks;Connection pooling;One-click upgrades to new versions;Seamless switching of plans and regions;All Regions except AMS2, NYC2, SFO1 and SGP1
Statistics
Stacks 802	Stacks 64
Followers 744	Followers 67
Votes 55	Votes 0
Pros & Cons
Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema	No community feedback yet
Integrations
PostgreSQL MySQL	No integrations available

What are some alternatives to Amazon Aurora, DigitalOcean Managed Databases?

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

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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 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.

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

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

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.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.