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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Machine Learning As A Service
  5. Airtable vs Azure Machine Learning

Airtable vs Azure Machine Learning

OverviewDecisionsComparisonAlternatives

Overview

Azure Machine Learning
Azure Machine Learning
Stacks241
Followers374
Votes0
Airtable
Airtable
Stacks1.0K
Followers890
Votes40

Airtable vs Azure Machine Learning: What are the differences?

Airtable: *Real-time spreadsheet-database hybrid *. 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; Azure Machine Learning: A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Airtable belongs to "Spreadsheets as a Backend" category of the tech stack, while Azure Machine Learning can be primarily classified under "Machine Learning as a Service".

Some of the features offered by Airtable are:

  • Attachments
  • Link Tables
  • Fully mobile

On the other hand, Azure Machine Learning provides the following key features:

  • Designed for new and experienced users
  • Proven algorithms from MS Research, Xbox and Bing
  • First class support for the open source language R

Hazeorid, Zenefits, and Caravelo are some of the popular companies that use Airtable, whereas Azure Machine Learning is used by Microsoft, Bluebeam Software, and Petra. Airtable has a broader approval, being mentioned in 39 company stacks & 16 developers stacks; compared to Azure Machine Learning, which is listed in 12 company stacks and 8 developer stacks.

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Advice on Azure Machine Learning, 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

Azure Machine Learning
Azure Machine Learning
Airtable
Airtable

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

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.

Designed for new and experienced users;Proven algorithms from MS Research, Xbox and Bing;First class support for the open source language R;Seamless connection to HDInsight for big data solutions;Deploy models to production in minutes;Pay only for what you use. No hardware or software to buy
Attachments;Link Tables;Fully mobile;Instant collaboration;Easily undo mistakes
Statistics
Stacks
241
Stacks
1.0K
Followers
374
Followers
890
Votes
0
Votes
40
Pros & Cons
No community feedback yet
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
Microsoft Azure
Microsoft Azure
No integrations available

What are some alternatives to Azure Machine Learning, Airtable?

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Sheetsu

Sheetsu

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

Sora 2 AI Video Generator

Sora 2 AI Video Generator

Turns any prompt into a cinematic-ready clip. Type an idea, drop in reference images, and get a polished video alongside invite code updates and compliance guidance.

Sheety

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

AI Video Generator

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Sora AI Video Generator (Sora 2)

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Experience the next-gen Sora AI Video Generator. With Sora 2, create realistic, long-form AI videos from text or images. Try Sora 2 AI Video Generator now.

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

Free AI Photo Enhancer - Online AI Image Quality Enhancer

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Sora AI Video Generator

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