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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Azure Database for PostgreSQL vs Google Cloud SQL for PostgreSQL

Azure Database for PostgreSQL vs Google Cloud SQL for PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

Google Cloud SQL for PostgreSQL
Google Cloud SQL for PostgreSQL
Stacks142
Followers106
Votes0
Azure Database for PostgreSQL
Azure Database for PostgreSQL
Stacks56
Followers103
Votes0

Azure Database for PostgreSQL vs Google Cloud SQL for PostgreSQL: What are the differences?

Introduction

The purpose of this document is to highlight the key differences between Azure Database for PostgreSQL and Google Cloud SQL for PostgreSQL. Both platforms provide managed PostgreSQL database services, but they differ in several aspects. The following paragraphs outline the key differences between the two platforms.

  1. Performance and Scalability: Azure Database for PostgreSQL is known for its high-performance capabilities and scalability options. It offers a wide range of compute and storage options to meet the varying needs of different workloads. On the other hand, Google Cloud SQL for PostgreSQL provides a scalable architecture that can handle large workloads but may have some limitations compared to Azure.

  2. Pricing Models: With Azure Database for PostgreSQL, users can take advantage of flexible pricing models, including a pay-as-you-go model and reserved capacity options. This allows users to optimize their costs based on their usage patterns. In contrast, Google Cloud SQL for PostgreSQL offers more straightforward pricing options, with a focus on simplicity and ease of use.

  3. Integration with Cloud Ecosystem: Azure Database for PostgreSQL seamlessly integrates with other Azure services, enabling users to leverage the broader Azure ecosystem for building comprehensive cloud solutions. This integration allows for easy integration with Azure Active Directory, Azure Monitor, and other services. Google Cloud SQL for PostgreSQL also provides integration with other Google Cloud services, but its ecosystem integration options may be relatively limited compared to Azure.

  4. Management and Monitoring Tools: Azure Database for PostgreSQL is equipped with a variety of management and monitoring tools, including Azure portal, Azure PowerShell, Azure CLI, and Azure Monitor. These tools provide a robust management experience and enable efficient monitoring and troubleshooting. Google Cloud SQL for PostgreSQL also offers a set of management and monitoring tools, but the feature set may be different compared to Azure.

  5. Geo-replication and Disaster Recovery: Azure Database for PostgreSQL offers built-in geo-replication options, allowing users to replicate their databases across multiple Azure regions for disaster recovery purposes. This ensures high availability and data redundancy. Google Cloud SQL for PostgreSQL also provides options for replication and disaster recovery, but the capabilities may differ from Azure in terms of features and configuration options.

  6. Regional Availability: Azure Database for PostgreSQL is available in a wide range of regions globally, ensuring that users can deploy their databases closer to their applications and end-users for improved latency and performance. Google Cloud SQL for PostgreSQL is also available in multiple regions, but the specific regions and availability may vary compared to Azure.

In summary, Azure Database for PostgreSQL and Google Cloud SQL for PostgreSQL have several key differences, including performance and scalability options, pricing models, integration with cloud ecosystems, management and monitoring tools, geo-replication capabilities, and regional availability.

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Advice on Google Cloud SQL for PostgreSQL, Azure Database for PostgreSQL

Jorge
Jorge

Jan 15, 2020

Needs advice

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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Detailed Comparison

Google Cloud SQL for PostgreSQL
Google Cloud SQL for PostgreSQL
Azure Database for PostgreSQL
Azure Database for PostgreSQL

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

Azure Database for PostgreSQL provides a managed database service for app development and deployment that allows you to stand up a PostgreSQL database in minutes and scale on the fly – on the cloud you trust most.

Statistics
Stacks
142
Stacks
56
Followers
106
Followers
103
Votes
0
Votes
0
Integrations
Google App Engine
Google App Engine
Google Compute Engine
Google Compute Engine
PostgreSQL
PostgreSQL
Microsoft Azure
Microsoft Azure

What are some alternatives to Google Cloud SQL for PostgreSQL, Azure Database for PostgreSQL?

Amazon RDS for PostgreSQL

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.

Heroku Postgres

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.

ElephantSQL

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

Database Labs

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Neon Database

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

Vercel Postgres

Vercel Postgres

It enables you to create scalable, secure PostgreSQL databases. You should use Vercel Postgres if you need to manage customer profiles, user-generated content, financial transaction processing, or other complex data.

PaaS DB PostgreSQL

PaaS DB PostgreSQL

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.

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