Software Alternatives, Accelerators & Startups

Google Cloud PostgreSQL VS Sheetson

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

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service

Sheetson logo Sheetson

Instantly turn any Google Sheet into RESTful API
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29
  • Sheetson Landing page
    Landing page //
    2022-11-29

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.

Sheetson features and specs

  • Ease of Use
    Sheetson enables users to interact with Google Sheets as a RESTful API endpoint, making it straightforward for developers to integrate spreadsheet data into their applications without complex setup.
  • No Authentication Required
    Unlike many other services, Sheetson does not require OAuth for access, simplifying the initial setup and usage.
  • Real-time Data
    Data in Google Sheets can be updated in real-time and Sheetson APIs can instantly reflect these updates, providing up-to-date information without delay.
  • Cost-Effective
    Sheetson offers a free tier, making it an affordable option for small projects and startups needing basic interaction with Google Sheets.
  • Flexible Integration
    Sheetson supports a broad range of programming languages and can be used in various types of applications, from websites to mobile apps.

Possible disadvantages of Sheetson

  • Rate Limits
    Sheetson imposes rate limits on the number of API calls, which can be restrictive for high-traffic applications.
  • Limited Features
    While it handles basic CRUD operations, more complex spreadsheet manipulations and functionalities are not supported by Sheetson.
  • Data Privacy Concerns
    By using a third-party service to access Google Sheets, there could be concerns regarding the security and privacy of sensitive data.
  • Dependency on Google Sheets
    Applications reliant on Sheetson are also dependent on the availability and performance of Google Sheets, introducing potential points of failure.
  • Potential Latency
    Since data requests have to go through multiple services (Sheetson to Google Sheets), there might be some latency compared to a direct database query.

Category Popularity

0-100% (relative to Google Cloud PostgreSQL and Sheetson)
Developer Tools
100 100%
0% 0
Google Sheets
0 0%
100% 100
Databases
100 100%
0% 0
API Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Google Cloud PostgreSQL might be a bit more popular than Sheetson. We know about 7 links to it since March 2021 and only 6 links to Sheetson. 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.

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 2 months 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 / 10 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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Sheetson mentions (6)

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What are some alternatives?

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

Supabase - An open source Firebase alternative

Sheety - Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

Crunchy Bridge - Crunchy Bridge is a fully managed database as a service.

Sheet 2 Site - Generate a website from 📗 Google Sheets

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

Sheetsu - Turn Google Spreadsheet into API