Software Alternatives, Accelerators & Startups

Sheetsu VS Google Cloud PostgreSQL

Compare Sheetsu VS Google Cloud PostgreSQL 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.

Sheetsu logo Sheetsu

Turn Google Spreadsheet into API

Google Cloud PostgreSQL logo Google Cloud PostgreSQL

Fully-managed database service
  • Sheetsu Landing page
    Landing page //
    2022-09-18
  • Google Cloud PostgreSQL Landing page
    Landing page //
    2023-09-29

Sheetsu features and specs

  • Ease of Use
    Sheetsu provides a user-friendly interface and straightforward API documentation, making it easy for users to convert Google Sheets into an API without extensive technical knowledge.
  • Quick Setup
    With Sheetsu, you can quickly integrate Google Sheets into your projects without the need for complex backend setups or additional server configurations.
  • Real-time Updates
    Any modifications made in Google Sheets are immediately reflected in the API responses, ensuring that data is always up-to-date.
  • Cost-Effective
    Sheetsu offers flexible pricing plans, including a free tier, which can be cost-effective for small-scale projects or startups.
  • Documentation and Support
    Sheetsu provides comprehensive documentation and responsive customer support to assist users with any issues or questions they might encounter.

Possible disadvantages of Sheetsu

  • Limited Free Tier
    The free tier comes with limitations on the number of requests and the amount of data that can be handled, which may not be sufficient for larger projects.
  • Dependence on Google Sheets
    Since Sheetsu relies heavily on Google Sheets, any issues or downtimes with Google Sheets can directly affect the performance and availability of the API.
  • Performance Constraints
    For heavy data processing or high-traffic applications, Sheetsu may face performance bottlenecks, making it less suitable for enterprise-level applications.
  • Security Concerns
    Storing and accessing sensitive data through Google Sheets and Sheetsu's API may raise security and privacy concerns, especially for data-intensive applications.
  • Customization Limitations
    While Sheetsu is flexible, it may lack advanced customization options needed for more complex or highly specific 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.

Category Popularity

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

User comments

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Social recommendations and mentions

Based on our record, Google Cloud PostgreSQL should be more popular than Sheetsu. It has been mentiond 7 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.

Sheetsu mentions (2)

  • My SaaS journey so far, pivots and no active users. Where do I go from here?
    Here is my product: https://matchkraft.com/. It is a marketing toolkit. I think you need to ask for feedback, asking why users don't want to pay for a premium subscription. So far, you are getting new users that is a good sign you are going to the right direction. Maybe, who is your ideal customer or maybe your product is ok but need more visibility (maybe paying ads). Try to get active users. I really want to... Source: almost 2 years ago
  • Making an app that connects to Google Sheets
    Calling a 3rd party API: There is a complete ecosystem providing "google-sheets-as-DB". I personally tested and recommend https://sheetson.com/ but there are a lot more with free tiers https://sheetsu.com/ https://sheety.co/. Source: about 3 years ago

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 month 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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What are some alternatives?

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

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

Supabase - An open source Firebase alternative

Sheet 2 Site - Generate a website from 📗 Google Sheets

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

SheetBest - Turn a Google SpreadSheet into a JSON Database API

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