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

DigitalOcean Managed Databases vs Google Cloud SQL

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
DigitalOcean Managed Databases
DigitalOcean Managed Databases
Stacks64
Followers67
Votes0

DigitalOcean Managed Databases vs Google Cloud SQL: What are the differences?

Managed Databases vs Google Cloud SQL

DigitalOcean Managed Databases and Google Cloud SQL are two popular database management solutions. While both offer similar services, there are key differences between them:

  1. Pricing Models: DigitalOcean Managed Databases follows a simple pricing structure, where you pay for the size of the database cluster and the resources used. On the other hand, Google Cloud SQL offers a more complex pricing model, with charges based on instance types, storage, and networking.

  2. Managed Service: DigitalOcean Managed Databases provides a fully managed service, taking care of backups, updates, and maintenance tasks. In contrast, Google Cloud SQL also offers a managed service option, but it also allows you to manage your own databases for more control.

  3. Integration with Ecosystem: Google Cloud SQL seamlessly integrates with other Google Cloud products and services, enabling better compatibility and ease of use within the Google Cloud ecosystem. DigitalOcean Managed Databases, on the other hand, may require additional configuration and setup to integrate with other services outside the DigitalOcean platform.

  4. Scalability: Both services offer scalability options, allowing you to scale your databases as your needs grow. However, Google Cloud SQL offers more scalability options, with automatic vertical scaling for CPU and RAM, as well as horizontal scaling with read replicas.

  5. Global Availability: Google Cloud SQL has a larger global presence with availability zones in multiple regions around the world, offering better geographical coverage and redundancy. DigitalOcean Managed Databases, though expanding, currently has fewer regions available.

  6. Ease of Use: DigitalOcean Managed Databases are designed with simplicity in mind, providing an intuitive user interface and easy-to-use API. Google Cloud SQL offers a more comprehensive platform, but it may have a steeper learning curve for beginners.

In summary, the key differences between DigitalOcean Managed Databases and Google Cloud SQL lie in their pricing models, level of managed service, integration with ecosystems, scalability options, global availability, and ease of use.

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
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.

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
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
555
Stacks
64
Followers
580
Followers
67
Votes
46
Votes
0
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    SQL
  • 10
    Backed by Google
  • 4
    Flexible
  • 3
    Encryption at rest and transit
No community feedback yet

What are some alternatives to Google Cloud SQL, 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.

Amazon Aurora

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.

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.

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