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cinnaroll.ai VS Google App Engine

Compare cinnaroll.ai VS Google App Engine and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

cinnaroll.ai logo cinnaroll.ai

Rapid & simple machine learning model deployment. Without Ops overhead. Unified, streamlined way of testing, experimenting, reviewing, selecting, deploying, monitoring and retraining ML models.

Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.
  • cinnaroll.ai Landing page
    Landing page //
    2023-05-24
  • Google App Engine Landing page
    Landing page //
    2023-10-17

cinnaroll.ai videos

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Google App Engine videos

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Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

Category Popularity

0-100% (relative to cinnaroll.ai and Google App Engine)

cinnaroll.ai

Google App Engine

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare cinnaroll.ai and Google App Engine

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Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
Source: blog.back4app.com
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...
Source: blog.appscale.com

Social recommendations and mentions

Based on our record, Google App Engine seems to be more popular. It has been mentiond 26 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.

cinnaroll.ai mentions (0)

We have not tracked any mentions of cinnaroll.ai yet. Tracking of cinnaroll.ai recommendations started around Nov 2022.

Google App Engine mentions (26)

  • A Brief History Of Serverless
    In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering. - Source: dev.to / about 1 month ago
  • CQL Trace Viewer: Visualizing CQL Traces with Dash
    To deploy the app, we can use Google Cloud App Engine, which is specifically built for server-side rendered websites. After we create a new project in the Google Cloud Console, we have to configure the cql-trace-viewer application. - Source: dev.to / about 1 year ago
  • Which service to host a Discord bot?
    I've read that article, but I'm thinking there are other better (and most importantly cheaper) ways of doing that, such as using App Engine (given that you have to mitigate the maximum request timeout and to make sure there are constantly exactly 1 instance running). Source: about 1 year ago
  • Using NextJs for front-end only?
    Shout out to GCP App Engine for deploying anode/Express severe. Source: about 1 year ago
  • What will Komi's resume look like?
    If your project is a bit more complicated using next.js or react.js or angular.js, you may find some free Platfrom-as-a-Service%20is%20a%20complete%20cloud%20environment,middleware%2C%20tools%2C%20and%20more.). I have seen some of my peers using free PaaS like Heroku, Vercel and I have no experience in using PaaS but I will recommend you to use PaaS from either of the three 1. Google Cloud's Google App Engine 2.... Source: about 1 year ago
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What are some alternatives?

When comparing cinnaroll.ai and Google App Engine, you can also consider the following products

Iguazio - Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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