Need advice about which tool to choose?Ask the StackShare community!
Amazon RDS vs DigitalOcean Managed Databases vs Google Cloud SQL: What are the differences?
<Write Introduction here>
1. **Storage Options**: Amazon RDS offers storage options like Amazon EBS, Provisioned IOPS, and Amazon Aurora, while DigitalOcean Managed Databases offer scalable block storage. Google Cloud SQL provides storage options with integration to Google Cloud Storage for backups and flexibility in storage configurations.
2. **Managed Services**: Amazon RDS provides a fully managed service with automated backups, software patching, monitoring, and scaling capabilities. DigitalOcean Managed Databases offer a simpler managed service focusing on the database operations and maintenance, without additional services. Google Cloud SQL also offers a fully managed service with automated backups, patches, and monitoring.
3. **Pricing Structure**: Amazon RDS offers a complex pricing structure based on instance types, storage, and additional features, which can sometimes be challenging to estimate. DigitalOcean Managed Databases provide a simpler pricing model based on flat rates with transparent pricing. Google Cloud SQL also offers a transparent pricing model with pay-as-you-go options.
4. **Database Engine Support**: Amazon RDS supports a wide range of database engines such as MySQL, PostgreSQL, Oracle, and SQL Server, along with Amazon Aurora. DigitalOcean Managed Databases offer support for MySQL, PostgreSQL, and Redis databases. Google Cloud SQL supports MySQL, PostgreSQL, and SQL Server databases with built-in replication and failover capabilities.
5. **Integration with Cloud Services**: Amazon RDS integrates seamlessly with other AWS services like Amazon S3, Lambda, and Redshift for data analysis and processing. DigitalOcean Managed Databases offer integration with DigitalOcean Spaces for storing backups and media files. Google Cloud SQL integrates well with other Google Cloud services for a comprehensive cloud ecosystem.
In Summary, Amazon RDS, DigitalOcean Managed Databases, and Google Cloud SQL differ in aspects like storage options, managed services, pricing structure, database engine support, and integration with cloud services.
Manage your open source components, licenses, and vulnerabilities
Learn MorePros of Amazon RDS
Pros of DigitalOcean Managed Databases
Pros of Google Cloud SQL
Pros of Amazon RDS
- Reliable failovers165
- Automated backups156
- Backed by amazon130
- Db snapshots92
- Multi-availability87
- Control iops, fast restore to point of time30
- Security28
- Elastic24
- Push-button scaling20
- Automatic software patching20
- Replication4
- Reliable3
- Isolation2
Pros of DigitalOcean Managed Databases
Be the first to leave a pro
Pros of Google Cloud SQL
- Fully managed13
- Backed by Google10
- SQL10
- Flexible4
- Encryption at rest and transit3
- Automatic Software Patching3
- Replication across multiple zone by default3
Sign up to add or upvote prosMake informed product decisions
No Stats
What is 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.
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.
What is 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.
Need advice about which tool to choose?Ask the StackShare community!
What companies use Amazon RDS?
What companies use DigitalOcean Managed Databases?
What companies use Google Cloud SQL?
What companies use DigitalOcean Managed Databases?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Amazon RDS?
What tools integrate with DigitalOcean Managed Databases?
What tools integrate with Google Cloud SQL?
What tools integrate with Amazon RDS?
What tools integrate with DigitalOcean Managed Databases?
No integrations found
What tools integrate with Google Cloud SQL?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+23 11
6830
+22 13
8807
+23 12
6608
+42 53
22143
+17 18
6023
+35 13
1787
+29 6
3124
What are some alternatives to Amazon RDS, DigitalOcean Managed Databases, and Google Cloud SQL?
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Apache Aurora
Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
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.
Oracle
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
Heroku Postgres
Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.