Amazon RDS for PostgreSQL vs Google Cloud SQL for PostgreSQL

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Amazon RDS for PostgreSQL

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

  1. Database Engine Versions: Amazon RDS for PostgreSQL offers a wider range of database engine versions, allowing users to choose from multiple PostgreSQL versions including the latest ones. On the other hand, Google Cloud SQL for PostgreSQL may have a more limited set of PostgreSQL versions to choose from, which could impact compatibility with specific features or requirements.

  2. Pricing Models: Amazon RDS for PostgreSQL generally follows a pay-as-you-go pricing model where users only pay for the resources they consume. In contrast, Google Cloud SQL for PostgreSQL may offer more flexibility in pricing options, such as committed use discounts or sustained use discounts, allowing for potential cost savings based on usage patterns.

  3. Integration with Other Services: Amazon RDS for PostgreSQL seamlessly integrates with other Amazon Web Services (AWS) products and services, providing a comprehensive ecosystem for building and deploying applications. Google Cloud SQL for PostgreSQL, on the other hand, offers integration with Google Cloud Platform services, which may be more suitable for users already invested in the Google Cloud ecosystem.

  4. Scalability Options: Both Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL offer scalability options such as vertical scaling (increasing the resources of a single instance) and horizontal scaling (adding more instances for load distribution). However, the ease of scaling and the specific options available may differ between the two services, impacting the performance and cost-effectiveness of scaling operations.

  5. Backup and Recovery Features: Amazon RDS for PostgreSQL provides automated backup and recovery features, including point-in-time recovery and snapshot capabilities, to help users protect their data and restore databases in case of failures. Google Cloud SQL for PostgreSQL also offers similar backup and recovery functionalities, but the configuration options and management interfaces may vary between the two services.

  6. Security and Compliance: Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL both prioritize security and compliance with industry standards. However, the specific security features, compliance certifications, and encryption options supported by each service may vary, requiring users to evaluate their specific security requirements when choosing between the two.

In Summary, Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL differ in database engine versions, pricing models, integration with other services, scalability options, backup and recovery features, and security and compliance offerings.

Advice on Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL

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

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

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 48.8K views

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 for PostgreSQL
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    Easy setup, backup, monitoring
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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 for PostgreSQL?

    With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

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    What are some alternatives to Amazon RDS for PostgreSQL and Google Cloud SQL for PostgreSQL?
    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