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Amazon RDS for PostgreSQL VS Google Cloud PostgreSQL

Compare Amazon RDS for PostgreSQL VS Google Cloud PostgreSQL and see what are their differences

Amazon RDS for PostgreSQL logo Amazon RDS for PostgreSQL

PostgreSQL as a Service

Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service
  • Amazon RDS for PostgreSQL Landing page
    Landing page //
    2021-10-29
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29

Amazon RDS for PostgreSQL features and specs

  • Managed Service
    Amazon RDS for PostgreSQL is a fully managed service, meaning that AWS handles routine database tasks such as backups, patch management, and failover, reducing the operational burden on users.
  • Scalability
    The service allows for easy vertically scaling of database instances as application demands grow, without requiring downtime. This helps businesses to adapt to changing workloads efficiently.
  • High Availability
    With Multi-AZ deployments, Amazon RDS provides enhanced reliability and availability. It automatically creates a primary database instance and synchronously replicates data to a standby instance in a different Availability Zone.
  • Security Features
    Amazon RDS integrates with AWS Identity and Access Management (IAM) for access control and offers encryption at rest and in transit capabilities, bolstering data security.
  • Backup and Recovery
    Automatic backups, snapshots, and point-in-time recovery simplify data recovery and help ensure that data can be restored to any given second during the retention period.

Possible disadvantages of Amazon RDS for PostgreSQL

  • Cost
    The cost of running a managed service like Amazon RDS can be higher than managing a database in-house, especially for smaller organizations or when optimal configurations are not utilized.
  • Limited Customization
    Since Amazon RDS is a managed service, there are certain limitations on access to the underlying operating system and database configurations, which may hinder some advanced customizations and optimizations.
  • Vendor Lock-In
    Using RDS for PostgreSQL can lead to vendor lock-in, making it difficult for businesses to move away from AWS without incurring data transfer costs or requiring significant re-engineering efforts.
  • Maintenance Windows
    Updates and patches are applied during scheduled maintenance windows, which might cause disruptions if the timing is not properly managed or if unexpected performance issues occur during these periods.
  • Limited Extension Support
    While RDS for PostgreSQL supports a wide range of extensions, not all PostgreSQL extensions are available, potentially limiting additional functionality that might be needed for specialized use cases.

Google Cloud PostgreSQL features and specs

  • Scalability
    Google Cloud PostgreSQL offers easy scalability for growing databases, allowing you to adjust resources like CPU and RAM without significant downtime.
  • Managed Service
    As a fully managed service, it reduces the overhead of database maintenance tasks such as backups, patching, and updates, allowing developers to focus on application development.
  • High Availability
    It provides high availability configurations with automated failover to ensure that your database is reliable and your application remains uninterrupted.
  • Security
    Offers strong security measures, including encryption at rest and in transit, and integration with Google Cloud's Identity and Access Management (IAM).
  • Integration
    Seamlessly integrates with other Google Cloud services, making it easier to build comprehensive cloud solutions.

Possible disadvantages of Google Cloud PostgreSQL

  • Cost
    The cost can become high compared to other options, especially if your database requirements grow significantly, leading to increased resource allocation.
  • Limited Customization
    Being a managed service, there may be limited ability to customize certain configurations compared to self-hosted PostgreSQL solutions.
  • Vendor Lock-in
    Using Google Cloud services can lead to dependency on their ecosystem, making it challenging to migrate to another platform or cloud provider in the future.
  • Latency
    While Google Cloud provides robust infrastructure, network latency can still be an issue, especially if the service is being accessed from geographically distant regions.
  • Complexity
    Navigating and configuring the myriad of available options in Google Cloud can be complex and requires a certain level of expertise, which might be burdensome for newcomers.

Amazon RDS for PostgreSQL videos

Amazon RDS for PostgreSQL/Amazon Aurora PostgreSQL Operational Best Practices | AWS Events

Google Cloud PostgreSQL videos

No Google Cloud PostgreSQL videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon RDS for PostgreSQL and Google Cloud PostgreSQL)
Databases
58 58%
42% 42
Developer Tools
33 33%
67% 67
Cloud Hosting
100 100%
0% 0
Cloud Infrastructure
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon RDS for PostgreSQL should be more popular than Google Cloud PostgreSQL. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon RDS for PostgreSQL mentions (16)

  • Kubernetes and Container Portability: Navigating Multi-Cloud Flexibility
    Amazon RDS for MySQL (for managed MySQL) or Amazon RDS for PostgreSQL (for managed PostgreSQL). - Source: dev.to / about 1 year ago
  • Top 8 Managed Postgres Providers
    Amazon RDS is a managed service for relational databases that makes PostgreSQL setup, scaling, and management automatic. This lets developers concentrate on creating applications instead of handling database tasks. - Source: dev.to / almost 2 years ago
  • Deploying Django Application on AWS with Terraform - Part 1
    Yay! We have now deployed our Django web application with ECS Service + Fargate on AWS. But now it works with SQLite file database. This file will be recreated on every service restart. So, our app cannot persist any data for now. In the next article weโ€™ll connect Django to AWS RDS PostgreSQL. - Source: dev.to / over 2 years ago
  • gactive: Active-active Replication Extension for PostgreSQL on Amazon RDS
    Today, AWS announces the general availability of pgactive: Active-active Replication Extension for PostgreSQL, available for Amazon Relational Database Service (RDS) for PostgreSQL. Pgactive lets you use asynchronous active-active replication for streaming data between database instances to provide additional resiliency and flexibility in moving data between database instances, including writers located in... Source: over 2 years ago
  • Hosting my Software
    Best practice would definitely be setting up a separately hosted database (I swear I'm not an AWS shill) for production as this ensures much better data integrity. Plus it manages backups etc. For you. Source: about 3 years ago
View more

Google Cloud PostgreSQL mentions (7)

  • Kubernetes and Container Portability: Navigating Multi-Cloud Flexibility
    Google Cloud SQL for MySQL (for managed MySQL) or Google Cloud SQL for PostgreSQL (for managed PostgreSQL). - Source: dev.to / about 1 year ago
  • Top 8 Managed Postgres Providers
    This is Google's managed service for databases that makes it easier to set up, maintain, and manage PostgreSQL databases on Google Cloud. - Source: dev.to / almost 2 years ago
  • Questions about 'databaseing' on the Cloud
    For a small database you don't need Snowflake. You need Postgres or MySQL. Power BI for visualizing data seems fine. For entering data you can use Airforms. Source: almost 3 years ago
  • Distributed Managed PostgreSQL Database Alternatives in the Cloud
    PostgreSQL is an open-source relational database, used by many companies, and is very common among cloud applications, where companies prefer an open-source solution, supported by a strong community, as an alternative to commercial database engines. The simplest way to run the PostgreSQL engine in the cloud is to choose one of the managed database services, such as Amazon RDS for PostgreSQL or Google Cloud SQL... - Source: dev.to / over 3 years ago
  • Get data from Cloud SQL with Python
    For the database, I used Cloud SQL, which is a managed database service from Google Cloud Platform (GCP). This GCP product provides a cloud-based alternative to MySQL, PostgreSQL and SQL Server databases. The great advantage of Cloud SQL is that it is a managed service, that is, you do not have to worry about some tasks related to the infrastructure where the database will run, tasks such as backups, maintenance... - Source: dev.to / about 4 years ago
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What are some alternatives?

When comparing Amazon RDS for PostgreSQL and Google Cloud PostgreSQL, you can also consider the following products

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

Supabase - An open source Firebase alternative

Application Load Balance - Automatically distribute incoming traffic across multiple targets using an Application Load Balancer.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

pREST - A fully RESTful API from any existing PostgreSQL database written in Go

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.