Software Alternatives & Reviews

Azure Machine Learning Service VS Heroku

Compare Azure Machine Learning Service VS Heroku and see what are their differences

Azure Machine Learning Service logo Azure Machine Learning Service

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

Heroku logo 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.
  • Azure Machine Learning Service Landing page
    Landing page //
    2023-07-22
  • Heroku Landing page
    Landing page //
    2023-10-05

Azure Machine Learning Service

Categories
  • Machine Learning
  • AI
  • Data Science And Machine Learning
  • Data Science Tools
Website azure.microsoft.com
Pricing URL Official Azure Machine Learning Service Pricing

Heroku

Categories
  • Cloud Computing
  • Cloud Hosting
  • VPS
  • Web Hosting
Website heroku.com
Pricing URL Official Heroku Pricing

Azure Machine Learning Service videos

What is Azure Machine Learning service and how data scientists use it

More videos:

  • Review - Azure Machine Learning service: Part 2 Training a Model

Heroku videos

What is Heroku | Ask a Dev Episode 14

More videos:

Category Popularity

0-100% (relative to Azure Machine Learning Service and Heroku)
Data Science And Machine Learning
Cloud Computing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Cloud Hosting
0 0%
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 Azure Machine Learning Service and Heroku

Azure Machine Learning Service Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: The Azure Machine Learning service lets developers and data scientists build, train, and deploy machine learning models. The product features productivity for all skill levels via a code-first and drag-and-drop designer, and automated machine learning. It also features expansive MLops capabilities that integrate with existing DevOps processes. The service touts...

Heroku Reviews

  1. Useful Cloud Platform

    Great service to build, run and manage applications entirely in the cloud!

    🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase
    👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform
    👎 Cons:    Limitation with some addons|Low network performance
  2. 🏁 Competitors: Docker, Amazon AWS
    👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

2023 Firebase Alternatives: Top 10 Open-Source & Free
Heroku Postgres – Majority of businesses like Heroku because of its SQL database support. Yes, PostgreSQL as a service is an appealing product of this PaaS vendor with quick deployment approaches.
5 Free Heroku Alternatives with Free Plan for Developers
Koyeb is a decent alternative to Heroku that you can consider for hosting or deploying your web apps and APIs. It has all the features of Heroku that you will need for your projects. So far, I have not encountered an importer tool for migrating Heroku deployments but I am sure doing that manually will not be that hard. Just like Heroku it offers you an intuitive web UI as...
Choosing the best Next.js hosting platform
However, there are a few disadvantages to Heroku. First of all, despite its build pack, Heroku will run your project as a Node.js application. As a result, you will lose some of Next.js’ most interesting features, such as Incremental Static Regeneration. Analytics are replaced by metrics and measured throughput, response time, and memory usage (only on paid plans).
Top 10 Netlify Alternatives
Heroku is another alternative to Netlify that doesn’t only host static websites but has the ability to host dynamic websites. This PaaS platform was launched in 2007 and conferred highly scalable features to deploy, host and launch applications.
The Best Cloud Hosting Providers for Elixir Phoenix
There are two different ways to deploy a Phoenix app on Heroku. You can use Heroku buildpacks or the Heroku container stack. For testing, we followed the Deploying on Heroku guide from the Phoenix docs to deploy Phoenix and Postgres using the Heroku container stack and Docker. We created our Phoenix app, updated for releases, added Heroku environment variable config, and...
Source: staknine.com

Social recommendations and mentions

Based on our record, Heroku seems to be a lot more popular than Azure Machine Learning Service. While we know about 71 links to Heroku, we've tracked only 4 mentions of Azure Machine Learning Service. 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.

Azure Machine Learning Service mentions (4)

  • AI Team Collaboration with Azure ML Studio
    Building an AI solution requires more than just one person. You need a team of experts who can work together efficiently and creatively. That’s why you need a platform that supports collaboration and communication among your AI team members. Azure Machine Learning Studio is not only a powerful infrastructure for computation and technical tasks, but also a management tool that helps you organize and streamline your... - Source: dev.to / 9 months ago
  • Databricks 2022 vs Databricks 2025
    I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
  • 20+ Free Tools & Resources for Machine Learning
    Azure Machine Learning An enterprise-grade service for the end-to-end machine learning life cycle that allows you to build models at scale. - Source: dev.to / about 2 years ago
  • Jobs which combine Chemical Engineering and Computer Science
    Azure Machine Learning (specifically for Energy and Manufacturing. Source: about 3 years ago

Heroku mentions (71)

  • How to keep an HTTP connection alive for 9 hours
    The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 6 months ago
  • How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku
    Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 8 months ago
  • I made a Bot.. How do I use it?
    Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 10 months ago
  • Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?
    I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: 11 months ago
  • Engineers who have a personal website/blog, what are you using to host/generate it?
    Over the years, I’ve gone from Time Warner’s Road Runner, to Tumblr, to GitHub Pages, to Godaddy hosted WordPress. Though, after Godaddy messed up a migration, I switched to self-hosting on Heroku. I wrote my blog engine using Crystal. Reference: ejstembler.com. Source: 12 months ago
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What are some alternatives?

When comparing Azure Machine Learning Service and Heroku, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!

NumPy - NumPy is the fundamental package for scientific computing with Python

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.