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Amazon RDS for PostgreSQL vs Google Cloud SQL

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Amazon RDS for PostgreSQL vs Google Cloud SQL: What are the differences?

Introduction:

Amazon RDS for PostgreSQL and Google Cloud SQL both are fully managed database services that offer PostgreSQL as one of the database engines. However, there are several key differences between them that set them apart. Let's explore these differences in detail.

  1. Pricing Model: Amazon RDS for PostgreSQL offers a pay-as-you-go pricing model where you are billed based on the actual usage, including instance type, storage, and data transfer. On the other hand, Google Cloud SQL has a more simplified pricing model where you pay only for the instance type and storage without any separate charges for data transfer.

  2. Scalability: Amazon RDS for PostgreSQL provides read replicas and Multi-AZ deployments for high availability and scalability. Read replicas allow you to scale the read workload, while Multi-AZ deployments ensure automatic failover in case of any failures. In contrast, Google Cloud SQL supports automatic failover, but it does not have built-in support for read replicas.

  3. Backup and Restore: Amazon RDS for PostgreSQL offers automated backups, which can be configured to occur at specific intervals. It also provides point-in-time recovery, enabling you to restore the database to a specific point in time. Google Cloud SQL also offers automated backups, but it lacks the point-in-time recovery feature.

  4. Management Interface: Amazon RDS for PostgreSQL provides a web-based management console where you can easily perform various management tasks, such as creating and managing database instances, monitoring performance metrics, and configuring security settings. On the other hand, Google Cloud SQL offers a similar web-based management interface called the Cloud Console, which allows you to perform similar tasks.

  5. Integration with Other Services: Amazon RDS for PostgreSQL integrates seamlessly with other AWS services, such as Amazon CloudWatch for monitoring, AWS Identity and Access Management (IAM) for access control, and AWS Database Migration Service for data migration. Google Cloud SQL also integrates well with other Google Cloud services like Stackdriver for monitoring and IAM for access control.

  6. Region Availability: Amazon RDS for PostgreSQL is available in multiple regions across the globe, allowing you to deploy your database instances closer to your users for lower latency. Google Cloud SQL also offers global availability, allowing you to choose from various regions.

In Summary, Amazon RDS for PostgreSQL and Google Cloud SQL have key differences in terms of pricing model, scalability options, backup and restore capabilities, management interface, integration with other services, and region availability.

Advice on Amazon RDS for PostgreSQL and Google Cloud SQL
Jorge Perez
| 3 upvotes · 49.9K views
Needs advice
on
Amazon RDS for PostgreSQLAmazon RDS for PostgreSQLGoogle Cloud SQL for PostgreSQLGoogle Cloud SQL for PostgreSQL
and
Heroku PostgresHeroku Postgres

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

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Replies (2)
David Weinberg
Software Developer · | 1 upvotes · 49.7K views
Recommends
on
Amazon RDS for PostgreSQLAmazon RDS for PostgreSQL

Good balance between easy to manage, pricing, docs and features.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 49.9K views
Recommends
on
DigitalOcean Managed DatabasesDigitalOcean Managed Databases
at

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Pros of Amazon RDS for PostgreSQL
Pros of Google Cloud SQL
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Encryption at rest and transit
  • 3
    Automatic Software Patching
  • 3
    Replication across multiple zone by default

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What is Amazon RDS for PostgreSQL?

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

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.

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What companies use Amazon RDS for PostgreSQL?
What companies use Google Cloud SQL?
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What tools integrate with Amazon RDS for PostgreSQL?
What tools integrate with Google Cloud SQL?

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What are some alternatives to Amazon RDS for PostgreSQL and Google Cloud SQL?
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.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives

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