AppSheet vs. AWS Amplify

AppSheet in my opinion is a great enabler, especially for small businesses. Am not too sure about Scaling up though. As such, I did not find it limiting as far as my needs were concerned so far. Licensing could be made more affordable for countries like India. There could be more slabs e.g. Let's say 10-15 people company could be asked to pay lesser than the fee for 15-20.

You should go for using it in particular if you are going to be build code once run everywhere kind of things and you want to not write most of the backend on your own. As AWS Amplify can take care of a lot of backend things for you and you can manage most of the stuff from front end coding. perfect for using in react/ flutter apps. Additionally better to use when you are going to use other AWS service and don't want to scatter things around

Incentivized

• Calculations - I have several apps that do some pretty complicated calculations, and decision making to build things like Shopping Lists for a Kanban assembly team, where the app will help a stocker determine whats low in a kanban assembly line stock box.
• Document generation and record keeping - I have an app that users digitally sign and receive PDF contracts, and the system automatically records all records from the transaction. Everything is held in files on YOUR OWN DRIVE (Google Drive) so when you're done with the project or AppSheet you DONT loose your data.
• Client/Customer Management - I follow the old school "Swimming with Sharks" model for client retention and customer engagement, and have built several small customer tracking tools for local businesses. This tool is limited ONLY by your imagine and desire to learn.

Incentivized

• UI and design of the AWS Amplify for easier setup
• painless user flow for react, angular etc
• easier setup using CLI with effective questions.

Incentivized

• Although there is a lot of study material, it takes time to understand the full potential of the Appsheet.
• Although all the material [are] in English, it is possible to access translations or learn in the forums and in an intuitive way.
• The simplest apps can be created with the free version, for more complex functions or to achieve certain distributions, a license must be paid per user.

• AWS Amplify init ends up changing the cloud. there should be deploy kind of thing
• confusions between Front end backend as both codes get mixed. this should be kept separate
• better documentation with use cases

Incentivized

We are still less than 10 users and probably may continue to be so. But, this being a franchisor set up, could be of use to other users like us.

I miss "Data" and "UX" items grouping/trees. Other than that is good.

AppSsheet has a support group and they show videos to help app builders. Though I have truck drivers' hours and can't join the webinars. Support groups with better assists me on a Saturday evening or a Sunday that I have time off. It's hard to watch videos driving down the highway.

I never went through a full implementation as I am still using the free app

The ease that AppSheet provides to the developer is limitless. Before starting with AppSheet I used other software, but they didn't give me the tools at my fingertips.
When I learned about AppSheet and everything it could do, I understood that it was what I was looking for, the ease with which everything is related within the app with a few clicks is impressive.

Its AWS take on the Firebase kind of system for providing backend as a service. Although Firebase has advantage of bigger community, better documentation and code examples; AWS Amplify is creating its own space where you will be going to use AWS products and Infrastructure in your project. Amplify Dynamo DB and GraphQL have clear cut advantages that have no direct alternative in Firebase as real time db and firestore documents both lack versioning.

Incentivized

• It is hard to quantify, but being able to produce effective and easy-to-use apps for field surveys, I have greatly improved my data collection capabilities.
• Digital data collection also significantly reduces data preparation time for statistical analysis in software such as Rstudio or JUMP.
• Data integrity is greatly improved by reducing data collection errors and removing the analog-to-digital conversion step, which is a source of data errors.

Incentivized

• saves time on righting backend interfaces
• easier to setup with react/ react native
• lambda functions can be used to extend functionality

Incentivized