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SheetBest VS SQL Spreads

Compare SheetBest VS SQL Spreads and see what are their differences

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SheetBest logo SheetBest

Turn a Google SpreadSheet into a JSON Database API

SQL Spreads logo SQL Spreads

SQL Spreads is an Excel Add-In to easily manage and update SQL Server tables from Excel.
  • SheetBest Landing page
    Landing page //
    2023-03-12
  • SQL Spreads Landing page
    Landing page //
    2023-10-15

SheetBest features and specs

  • Ease of Use
    SheetBest provides a simple and intuitive interface to convert Google Sheets into APIs, making it accessible for users with minimal technical knowledge.
  • No-Code Solution
    It enables non-developers to create APIs without having to write any code, which can save time and reduce complexity.
  • Speed of Setup
    Allows for rapid deployment of APIs from Google Sheets, enabling quicker integration and faster project delivery.
  • Cost-Effective
    Offers a cost-effective solution for small to medium-sized projects that might not need a full-fledged backend.
  • Customization Options
    Provides options to customize the API endpoints based on specific needs, offering flexibility in data handling.

Possible disadvantages of SheetBest

  • Limited Functionality
    While it covers basic needs, it might lack advanced features and capabilities compared to full-fledged API management tools and services.
  • Performance
    Performance might be limited by the constraints of Google Sheets as a data source, potentially impacting scalability.
  • Data Sensitivity
    Using Google Sheets as a backend for sensitive data could raise security and compliance concerns, as Sheets are not designed to be a secure database.
  • Dependency on Google Sheets
    Relies heavily on Google Sheets, so any issues or limitations with Sheets (such as API rate limits) directly affect the service.
  • Not Suitable for Complex Applications
    May not be adequate for complex applications that require robust data manipulation, high concurrency, or extensive relational data operations.

SQL Spreads features and specs

  • User-Friendly Interface
    SQL Spreads offers an intuitive and easy-to-use interface that allows users who are familiar with Excel to manage and update SQL Server data without needing advanced SQL skills.
  • Excel Integration
    It integrates seamlessly with Excel, enabling data manipulation using familiar Excel tools and functions, which can increase productivity for users already comfortable with Excel.
  • Real-Time Data Updates
    Changes made in Excel can be directly updated in SQL Server in real-time, ensuring that the database reflects the most current data without requiring a manual data import process.
  • Data Validation
    SQL Spreads provides data validation features, helping to maintain data integrity by allowing only valid data to be entered into the database through Excel.
  • Cost-Effective
    Compared to other data management solutions, SQL Spreads can be a more cost-effective option, reducing the need for extensive training or hiring skilled SQL developers.

Possible disadvantages of SQL Spreads

  • Excel Dependency
    Since SQL Spreads integrates with Excel, users are dependent on Excel's availability and performance, which can be a limitation for some database management scenarios.
  • Limited Advanced SQL Functionality
    While SQL Spreads allows for basic data manipulation tasks, it may not support more complex SQL operations, necessitating additional tools or manual SQL coding for advanced tasks.
  • Scalability Issues
    For very large databases or highly transactional systems, using Excel as a front-end can become cumbersome and may not scale well with increasing data volume or complexity.
  • Potential Performance Bottlenecks
    The direct integration with Excel can lead to performance bottlenecks, especially when handling significant amounts of data or when complex data transformations are required.
  • Limited Platform Support
    Being primarily an Excel-based tool, SQL Spreads may not be suitable for users or organizations that rely on platforms other than Windows, where Excel is not available or less commonly used.

Analysis of SheetBest

Overall verdict

  • SheetBest is a good choice for developers and non-developers alike who are looking for a quick and uncomplicated way to turn spreadsheets into RESTful APIs. It is particularly useful for small projects or prototyping, where a full-fledged database might be overkill.

Why this product is good

  • SheetBest is a tool that simplifies the process of using Google Sheets as a makeshift database. It allows users to easily convert Google Sheets into JSON API endpoints without requiring complex setup, making data accessible and manipulable programmatically.

Recommended for

  • Developers seeking a simple database solution for web or mobile apps.
  • Anyone looking for an easy way to expose spreadsheet data as an API.
  • Small businesses or startups that need lightweight data management solutions.

SheetBest videos

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SQL Spreads videos

+ Add

How to use the SQL Spreads Excel Add In to update the data in a SQL Server table

More videos:

  • Tutorial - How to use Microsoft Excel and SQL Spreads to update data in SQL Server
  • Review - Actualizar registros en SQL Server desde Excel | SQL Spreads

Category Popularity

0-100% (relative to SheetBest and SQL Spreads)

SheetBest

SQL Spreads

API Tools
100 100%
API Tools
0% 0
Database Management
0 0%
Database Management
100% 100
Google Sheets
100 100%
Google Sheets
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, SheetBest should be more popular than SQL Spreads. It has been mentiond 3 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.

SheetBest mentions (3)

  • Google sheets API.
    Have you considered using a tool to turn your Spreadsheet into API like restsheet.com, sheet2api.com, sheetson.com, or sheet.best? Source: about 3 years ago
  • How to add data to Google sheet with help of API?
    Use a paid wrapper like sheet.best or sheety.co. Much easier and robust from my experience and the free plans might be enough anyways. Source: over 4 years ago
  • How to Turn Google Sheets into a REST API and Use it with a React Application
    // Submit Handler Function SubmitHandler = e => { e.preventDefault(); console.log(this.state); http://axios.post('https://sheet.best/api/sheets/a6e67deb-2f00-43c3-89d3-b331341d53ed', this.state) .then(response => { console.log(response); }) }. - Source: dev.to / almost 5 years ago

SQL Spreads mentions (2)

  • Editing ESRI EGDB data in Excel - open source solutions?
    I already use Excel PowerQuery to connect to our EGDB tables and allow users to load/join/filter in Excel, which is great. Now I'm getting curious about connectors like SQL Spreads, Devart, and CData that can load a database query and also commit changes back to the source. Source: over 4 years ago
  • Best method for uploading data from Excel to SQL Server?
    I have spend my last six-seven years working on an Excel Add-In that updates and inserts Excel data into SQL Server. The full product is a paid product, but let me describe what free alternatives I see here:. Source: about 5 years ago

What are some alternatives?

When comparing SheetBest and SQL Spreads, 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

Navicat - Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

Sheetsu - Turn Google Spreadsheet into API

DataGrip - Tool for SQL and databases

Sheet 2 Site - Generate a website from 📗 Google Sheets

SQL Developer - Oracle SQL Developer is a free, development environment that simplifies the management of Oracle Database in both traditional and Cloud deployments.

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