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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Amazon RDS for Aurora vs DigitalOcean Managed Databases vs Google Cloud SQL

Amazon RDS for Aurora vs DigitalOcean Managed Databases vs Google Cloud SQL

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks558
Followers580
Votes46
Amazon Aurora
Amazon Aurora
Stacks813
Followers745
Votes55
DigitalOcean Managed Databases
DigitalOcean Managed Databases
Stacks64
Followers67
Votes0

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

  1. Database Engine: Amazon RDS for Aurora uses a fork of MySQL and PostgreSQL as its database engines, providing compatibility with different SQL codebases, while DigitalOcean Managed Databases support standard MySQL, PostgreSQL, and Redis databases. Google Cloud SQL also supports MySQL and PostgreSQL, and it offers the option for a fully managed version of SQL Server.

  2. High Availability: Amazon RDS for Aurora offers automated failover and replication with multiple replicas for high availability, ensuring minimal downtime and data redundancy. DigitalOcean Managed Databases provide automatic backups and standby nodes for failover scenarios. Google Cloud SQL offers automated backups, replication, and failover capabilities for high availability.

  3. Scalability: Amazon RDS for Aurora allows for auto-scaling storage and compute resources based on the application's needs, reducing operational overhead and costs. DigitalOcean Managed Databases offer vertical scaling for upgrading CPU and memory resources. Google Cloud SQL provides read replicas for horizontal scaling and performance optimization.

  4. Monitoring and Management Tools: Amazon RDS for Aurora offers CloudWatch metrics and enhanced monitoring capabilities for database performance and health insights. DigitalOcean Managed Databases provide a monitoring dashboard with metrics on query performance and resource utilization. Google Cloud SQL offers integration with Stackdriver for centralized monitoring and alerting.

  5. Networking and Security: Amazon RDS for Aurora allows for VPC peering and enhanced security features like encryption at rest and in transit to secure data transmission. DigitalOcean Managed Databases offer private networking and firewall rules to restrict access. Google Cloud SQL integrates with Virtual Private Cloud (VPC) networking for private connectivity and provides IAM roles for secure access control.

In Summary, the key differences between Amazon RDS for Aurora, DigitalOcean Managed Databases, and Google Cloud SQL lie in their database engines, high availability features, scalability options, monitoring tools, and networking/security capabilities.

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
Amazon Aurora
Amazon Aurora
DigitalOcean Managed Databases
DigitalOcean Managed Databases

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

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.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
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
558
Stacks
813
Stacks
64
Followers
580
Followers
745
Followers
67
Votes
46
Votes
55
Votes
0
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Automatic Software Patching
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
No integrations available
PostgreSQL
PostgreSQL
MySQL
MySQL
No integrations available

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

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.

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.

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.

Cloud DB for Mysql

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

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

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.

Aiven

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

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.

Azure SQL Managed Instance

Azure SQL Managed Instance

It is the intelligent, scalable cloud database service that combines the broadest SQL Server database engine compatibility with all the benefits of a fully managed and evergreen platform as a service.

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