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  4. Spreadsheets As A Backend
  5. Airtable vs DataNitro vs Sheetsee.js

Airtable vs DataNitro vs Sheetsee.js

OverviewDecisionsComparisonAlternatives

Overview

Sheetsee.js
Sheetsee.js
Stacks3
Followers29
Votes0
GitHub Stars3.1K
Forks973
DataNitro
DataNitro
Stacks4
Followers31
Votes0
Airtable
Airtable
Stacks1.0K
Followers890
Votes40

Airtable vs DataNitro vs Sheetsee.js: What are the differences?

  1. Integration with Google Sheets: Airtable allows users to import data directly from Google Sheets but requires working with different tools and interfaces, while DataNitro seamlessly integrates with Google Sheets using Python code for data manipulation and analysis. On the other hand, Sheetsee.js connects directly to Google Sheets to display data on a website without the need for manual data migration or synchronization.

  2. Collaboration Features: Airtable provides robust collaboration features such as real-time editing and comments, making it ideal for team projects that require frequent communication and feedback. DataNitro focuses on individual data analysis and automation, catering more towards solo users. Sheetsee.js is designed for visualizing data on the web, with limited collaboration features compared to Airtable.

  3. Data Visualization Capabilities: Airtable offers basic charting and visualization tools to create simple graphs and discover insights within the platform itself, which can be useful for quick data analysis. DataNitro primarily focuses on data manipulation and automation within Excel, lacking advanced visualization features. Sheetsee.js specializes in creating interactive maps and charts for websites, focusing on external data visualization rather than data analysis.

  4. Customization Options: Airtable provides a wide range of customizable templates and field types to tailor the database structure to specific project needs, allowing users to create unique workflows and data structures. DataNitro focuses on automating tasks within Excel, providing customization through Python scripting for data processing. Sheetsee.js offers customizable visualizations for websites using HTML, CSS, and JavaScript, allowing users to personalize the appearance of data displays.

  5. Automation Capabilities: Airtable offers automation features through integrations with Zapier and other third-party tools, enabling users to streamline workflows and trigger actions based on data changes. DataNitro focuses on automation within Excel through Python scripts, allowing users to automate repetitive tasks and data processing. Sheetsee.js does not provide built-in automation capabilities, focusing solely on data visualization for websites.

  6. Learning Curve: Airtable has a user-friendly interface with drag-and-drop functionality, making it easy for non-technical users to create databases and collaborate with team members. DataNitro requires knowledge of Python programming to leverage its data manipulation and automation capabilities, which may be challenging for users without coding experience. Sheetsee.js requires basic knowledge of web development languages (HTML, CSS, JavaScript) to create interactive data visualizations for websites, catering more towards users with some technical background.

In Summary, Airtable, DataNitro, and Sheetsee.js offer distinct features tailored towards different user needs, with differences in integration with Google Sheets, collaboration features, data visualization capabilities, customization options, automation capabilities, and learning curve.

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Advice on Sheetsee.js, DataNitro, Airtable

DetStartups
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?

59.9k views59.9k
Comments

Detailed Comparison

Sheetsee.js
Sheetsee.js
DataNitro
DataNitro
Airtable
Airtable

Sheetsee.js is a client-side library for connecting Google Spreadsheets to a website and visualizing the information in tables, maps and charts.

Build live streaming dashboards and complex mathematical models, all in Excel. You can use DataNitro to turn a spreadsheet into a database GUI - or a web server backend.

Working with Airtable is as fast and easy as editing a spreadsheet. But only Airtable is backed by the power of a full database, giving you rich features far beyond what a spreadsheet can offer.

-
Build Models - Leverage Python's finance, math and stat libraries.;Get Data - Automate input from databases, feeds and internet sources.;Work Fast - Build prototypes with a fraction of the code.;All in Excel - DataNitro embeds Python in Excel. Simplify your workflow. DataNitro is embedded in Excel.
Attachments;Link Tables;Fully mobile;Instant collaboration;Easily undo mistakes
Statistics
GitHub Stars
3.1K
GitHub Stars
-
GitHub Stars
-
GitHub Forks
973
GitHub Forks
-
GitHub Forks
-
Stacks
3
Stacks
4
Stacks
1.0K
Followers
29
Followers
31
Followers
890
Votes
0
Votes
0
Votes
40
Pros & Cons
No community feedback yet
Cons
  • 3
    DataNitro is no longer for sale or being developed
Pros
  • 19
    Powerful and easy to use
  • 8
    Robust and dynamic
  • 6
    Quick UI Layer
  • 4
    Practical built in views
  • 3
    Robust API documentation
Integrations
Tabletop.js
Tabletop.js
Google Sheets
Google Sheets
No integrations availableNo integrations available

What are some alternatives to Sheetsee.js, DataNitro, Airtable?

Sheetsu

Sheetsu

Use spreadsheet as your database. Give data to your users the nice way, directly from the tool you know. Without bothering webdeveloper.

Sheety

Sheety

Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.

Sheetlabs

Sheetlabs

Drag & drop your data, name your API and choose what data people can see - that's it. Documentation is created automatically.

sheet2api

sheet2api

Use any Google Sheets or Excel Online spreadsheet to power a fully-fledged API, no coding required.

Smartsheet

Smartsheet

It is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies. It provides your organization with a powerful work platform that offers exceptional speed to business value

Glide

Glide

Pick a sheet, customize your app, share it with a link. Add your data to the sheet and share your custom app! Only pay for apps that need whitelabeling or store distribution.

Tables

Tables

It helps teams easily track & automate tasks, enabling them to save time and work smarter.

xlwings

xlwings

Replace your VBA code with Python, a powerful yet easy-to-use programming language that is highly suited for numerical analysis. Supports Windows & Mac!

NocoDB

NocoDB

It is an open source Airtable alternative. It transforms your relational databases into a smart spreadsheet. Our app store allows you to connect to any cloud services like S3 for file storage and 3rd party apps like Slack, Twilio for business workflows.

Baserow.io

Baserow.io

It is an open-source no-code database and Airtable alternative. Create your own database without technical experience. Our user friendly no-code tool gives you the powers of a developer without leaving your browser.

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