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PostgreSQL VS Sheety

Compare PostgreSQL VS Sheety and see what are their differences

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PostgreSQL logo PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.

Sheety logo 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
  • PostgreSQL Landing page
    Landing page //
    2023-10-21
  • Sheety Landing page
    Landing page //
    2021-09-26

PostgreSQL features and specs

  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages of PostgreSQL

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

Sheety features and specs

  • Easy integration
    Sheety offers simple and straightforward APIs that allow users to convert Google Sheets into RESTful APIs, facilitating quick integration into various applications.
  • Cost-effective
    Sheety provides a free tier with essential features, making it a cost-effective solution for small projects or startups with limited budgets.
  • No-code solution
    Sheety allows non-developers to connect their Google Sheets data to other apps without requiring any coding knowledge.
  • Automation capabilities
    Users can automate workflows by integrating Sheety with other tools like Zapier, improving productivity and reducing manual tasks.
  • Real-time updates
    Changes in the Google Sheets are reflected almost instantly in the API endpoints, ensuring data is always up-to-date.

Possible disadvantages of Sheety

  • Limited scalability
    For larger projects with complex needs, Sheety’s features may not be sufficient, requiring users to invest in more robust data management solutions.
  • Privacy concerns
    Sharing sensitive information via Sheety's API can be risky if proper authentication and data security measures are not in place.
  • Dependency on Google Sheets
    Sheety relies heavily on Google Sheets, so any limitations or downtime of Google Sheets directly impacts the functionality of Sheety.
  • API rate limits
    The service may have API rate limits that could restrict high-frequency data updates or extensive CRUD operations, posing challenges for data-intensive applications.

Analysis of PostgreSQL

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

Analysis of Sheety

Overall verdict

  • Sheety is considered good for simplifying the process of using spreadsheets as a backend service. Its ease of use, especially for those unfamiliar with traditional development environments, makes it a practical solution for specific use cases.

Why this product is good

  • Sheety is a useful tool for those looking to turn their Google Sheets into a simple RESTful API. It offers a straightforward way to integrate spreadsheets with other applications, making it a good choice for prototyping, small projects, or integrating data without handling complex backend setups.

Recommended for

  • Non-developers looking for an easy way to create a backend for their applications.
  • Developers who need to quickly prototype applications with spreadsheet data.
  • Small teams or startups who want to leverage existing Google Sheets data without setting up a complex database.

PostgreSQL videos

+ Add

Comparison of PostgreSQL and MongoDB

More videos:

  • Review - PostgreSQL Review
  • Review - MySQL vs PostgreSQL - Why you shouldn't use MySQL

Sheety videos

+ Add

Arundhati Climax Scene REACTION | Anushka Sheety, Sonu Sood | Parbrahm&Anurag

More videos:

  • Review - Yash Sister Deepikadas Mother Speech About Shine Sheety in Bigboss7 | Deepika Das ShineShetty
  • Review - SINGHAM 3 CONFIRM AFTER SOORYAVANSHI/AJAY DEVGAN,AKSHAY KUMAR,ROHIT SHEETY/SINGHAM 3/REVIEW BROTHERS

Category Popularity

0-100% (relative to PostgreSQL and Sheety)

PostgreSQL

Sheety

Databases
100 100%
Databases
0% 0
API Tools
0 0%
API Tools
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Google Sheets
0 0%
Google Sheets
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PostgreSQL and Sheety

PostgreSQL Reviews

Data Warehouse Tools
Peliqan acts as a bridge, allowing you to e.g. effortlessly pull your PostgreSQL data into Google Sheets for easy access and analysis using its one-click connector. Additionally, Peliqan’s platform provides a user-friendly environment for data exploration, transformation with Magical SQL, and visualization capabilities, all without needing to switch between multiple tools.
Source: peliqan.io
Top 5 BigQuery Alternatives: A Challenge of Complexity
For over three decades, the open-source object-relational database system PostgreSQL has maintained its reputation as a top SQL server due to its features, performance, and reliability. (Heck, Redshift is even based on Postgres!) It's the go-to database solution for large corporations and organizations across a variety of industries from ecommerce to gaming to...
Source: blog.panoply.io
10 Best Database Management Software Of 2022 [+ Examples]
Applications Manager offers out-of-the-box health and performance monitoring for 20 popular databases including RDBMS, NoSQL, in-memory, distributed, and big data stores. It supports both commercial databases such as Oracle, Microsoft SQL, IBM DB2, and MongoDB as well as open source ones like MySQL and PostgreSQL.
Source: theqalead.com
ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
9 Best MongoDB alternatives in 2019
PostgreSQL is a widely popular open source database management system. It provides support for both SQL for relational and JSON for non-relational queries.
Source: www.guru99.com

Sheety Reviews

We have no reviews of Sheety yet.
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Social recommendations and mentions

PostgreSQL might be a bit more popular than Sheety. We know about 16 links to it since March 2021 and only 11 links to Sheety. 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.

PostgreSQL mentions (16)

  • Convert insert mutation to upsert
    In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / 9 months ago
  • Perfect Elixir: Environment Setup
    I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / about 1 year ago
  • Rust & MySQL: connect, execute SQL statements and stored procs using crate sqlx.
    According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / almost 2 years ago
  • Really tired. Is PostgreSQL even runnable in Windows 10? pgAdmin4 stucks at Loading whatever I try.
    Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: almost 2 years ago
  • Why SQL is right for Infrastructure Management
    SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 2 years ago
View more

Sheety mentions (11)

  • Using Google Sheets as the back end/APIs of your app
    Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / about 1 year ago
  • Alternatives to Sparklite?
    You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: over 2 years ago
  • My mom have a little business and she do all on an excel, is there any way to create her a web page directly connected to a google sheets?
    Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: over 2 years ago
  • Shortcut to return data from specific Numbers cell
    Https://sheety.co/ I found this website, where I can have the API with the needed google sheet and with the API request/response, I am getting the required details. Source: over 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
View more

What are some alternatives?

When comparing PostgreSQL and Sheety, you can also consider the following products

MySQL - The world's most popular open source database

Sheetsu - Turn Google Spreadsheet into API

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Sheet 2 Site - Generate a website from 📗 Google Sheets

SQLite - SQLite Home Page

SheetBest - Turn a Google SpreadSheet into a JSON Database API

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