Overview

Sheetsu

Stacks17

Followers91

Votes8

Sheety

Stacks5

Followers52

Votes5

Sheetsu vs Sheety: What are the differences?

# Introduction

Integration with Third-Party Apps: Sheetsu allows seamless integration with multiple third-party applications, enhancing its functionality and flexibility, while Sheety primarily focuses on Google Sheets integration, making it more suitable for users heavily reliant on Google ecosystem.
Pricing Structure: Sheetsu offers a straightforward pay-per-usage pricing model, charging users based on their actual usage, whereas Sheety provides a tiered pricing structure, which may be more cost-effective for users with predictable data volumes.
API Customization: Sheetsu allows for extensive API customization, enabling users to tailor various endpoints and data formats to suit their specific needs, while Sheety offers more standardized API endpoints, simplifying the setup process for less experienced users.
Data Security Features: Sheetsu emphasizes robust data security measures, such as encryption and access controls, to protect user data and ensure compliance with privacy regulations, while Sheety provides basic security features, making it more suitable for non-sensitive data applications.
Scalability Options: Sheetsu offers scalable solutions to accommodate growing data volumes and user requirements, ensuring optimal performance even as demand increases, whereas Sheety may have limitations in scalability, particularly for large-scale projects or high traffic applications.
Community Support and Resources: Sheetsu boasts a strong community support system with active forums and extensive documentation, providing users with valuable resources and assistance, while Sheety may have limited community engagement, potentially impacting the availability of support and resources for users.

# Summary

In Summary, Sheetsu and Sheety differ in terms of integration options, pricing structures, API customization, data security features, scalability options, and community support.

Advice on Sheetsu, Sheety

DetStartups

Nov 11, 2019

Needs advice

I'm trying to set up an ideally "no- code" way to have a backend of 3 different tables and be able to find a value in table #3 (contains businesses & cities) by first finding a record in table #1 (7,000+ zip codes) that corresponds to a city (table #2 has the unique cities), and then finding which businesses are located in these cities ( in this specific, original zipcode lookup). And return the business and a description via an API to a front-end results page, which happens to be a WordPress page - but doesn't need to be. I've tried Airtable's API, AirPress (a finicky WordPress plugin for Airtable's API), and I've looked at Sheetsu and a similar spreadsheet as backend and a simple API. I run into the issue where they work fine when you just need to query 1 table, but when you need to use the result from that query in another query to a different table. I'm back in SQL land - where sure it could be done with SQLite - needing to probably create an intersection table or a JOIN and build an API off of that. Is there a way to accomplish what I want without going back to SQL queries and some API?

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Comments

Detailed Comparison

Sheetsu	Sheety
Use spreadsheet as your database. Give data to your users the nice way, directly from the tool you know. Without bothering webdeveloper.	Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.
Statistics
Stacks 17	Stacks 5
Followers 91	Followers 52
Votes 8	Votes 5
Pros & Cons
Pros 8 Easy setup	Pros 5 Neat
Integrations
Ruby Python Google Sheets JavaScript HTML5	Google Sheets

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