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PlanetScale VS Google Cloud PostgreSQL

Compare PlanetScale VS Google Cloud PostgreSQL and see what are their differences

PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.

Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service
  • PlanetScale Landing page
    Landing page //
    2023-10-15
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29

PlanetScale features and specs

  • Scalability
    PlanetScale is designed for massive scale, leveraging the Vitess engine that powers YouTube. This makes it suitable for applications requiring high scalability for both read and write operations.
  • Global Distribution
    Offers multi-region deployment, ensuring low-latency access and higher availability, beneficial for globally distributed applications.
  • Serverless Approach
    The platform takes a serverless approach to database management, which means automatic scaling, less infrastructure to manage, and potential cost savings.
  • Branching and Sharding
    Supports database branching for isolated environments like development, testing, and production. It also supports sharding, which helps in distributing data across multiple nodes for better performance and reliability.
  • High Availability
    PlanetScale provides high availability with automated failover mechanisms, ensuring minimal downtime.
  • Strong Data Integrity
    Uses Vitess’s strong consistency models to ensure data integrity across distributed systems.
  • Developer Friendly
    Includes tools and features that make it easier for developers to manage, such as automatic migrations and simplified schema management.
  • Integration
    Can be easily integrated with various cloud service providers, making it flexible for different deployment environments.

Possible disadvantages of PlanetScale

  • Learning Curve
    The platform comes with a learning curve, especially for teams unfamiliar with Vitess or managing distributed databases.
  • Cost
    While it can offer cost savings in some areas, the pricing for large-scale deployments and multi-region setups can be relatively high.
  • Complexity of Advanced Features
    Advanced features like sharding and branching can add complexity to the database management operations.
  • Limited Ecosystem
    Compared to more established databases, the ecosystem and community around PlanetScale might be smaller, which can affect the availability of third-party tools and community support.
  • Vendor Lock-in
    Using a proprietary platform can lead to vendor lock-in, making it harder to switch to other database services if needed.
  • Early-stage Platform
    While promising, PlanetScale is relatively new compared to some other established database services, which means it may lack some maturity or have bugs that older platforms have ironed out.

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.

PlanetScale videos

PlanetScale Beta - Release Radar

More videos:

  • Review - Using PlanetScale (MySQL) with Next.js and Vercel!
  • Review - PlanetScale and Prisma: building in the cloud - Nick Van Wiggeren | Prisma Day 2021

Google Cloud PostgreSQL videos

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

Add video

Category Popularity

0-100% (relative to PlanetScale and Google Cloud PostgreSQL)
Databases
83 83%
17% 17
Developer Tools
71 71%
29% 29
Vitess
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, PlanetScale seems to be a lot more popular than Google Cloud PostgreSQL. While we know about 102 links to PlanetScale, we've tracked only 7 mentions of Google Cloud PostgreSQL. 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.

PlanetScale mentions (102)

  • Ask HN: What's the best free database provider out there?
    Https://planetscale.com/ would be a good bet. - Source: Hacker News / 8 days ago
  • List of 45 databases in the world
    PlanetScale — Serverless database platform built on MySQL and Vitess. - Source: dev.to / 10 months ago
  • Good alternatives to Heroku
    Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / 11 months ago
  • MySQL or Top Alternatives in 2024 and How to Choose One
    PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / 12 months ago
  • Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
    For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon. - Source: dev.to / about 1 year 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 / 24 days 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 / 9 months 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 2 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 / about 2 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 / almost 3 years ago
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What are some alternatives?

When comparing PlanetScale and Google Cloud PostgreSQL, you can also consider the following products

Datahike - A durable datalog database adaptable for distribution.

Supabase - An open source Firebase alternative

Datomic - The fully transactional, cloud-ready, distributed database

pganalyze Index Advisor for Postgres - The index advisor makes recommendations for creating the best indexes for your Postgres queries, based on the schema and table statistics information.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

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