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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Platform As A Service
  5. Heroku vs Scalingo

Heroku vs Scalingo

OverviewComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Scalingo
Scalingo
Stacks13
Followers5
Votes5

Heroku vs Scalingo: What are the differences?

Introduction: In this article, we will compare the key differences between Heroku and Scalingo, two popular cloud platform-as-a-service (PaaS) providers that enable developers to deploy, manage, and scale their applications easily.

  1. Pricing Models: One significant difference between Heroku and Scalingo lies in their pricing models. Heroku charges based on the number of dynos (containers) running your application, add-ons, and other resources utilized. On the other hand, Scalingo offers a simpler pricing model, where users pay only for the resources (CPU, RAM, storage) they consume. Scalingo's pricing structure allows for more flexibility and cost control, especially for applications with varying resource needs.

  2. Deployment Process: Heroku provides a streamlined deployment process that is heavily focused on Git integration. Developers can deploy their applications by simply pushing code changes to a Git repository linked to Heroku. In contrast, Scalingo supports more deployment options, including Git deployment, Docker-based deployment, and Continuous Deployment with integrations to popular CI/CD tools. This flexibility in deployment methods is advantageous for teams using different workflows or requiring more control over their deployment process.

  3. Platform Flexibility: While both platforms are designed to support a variety of programming languages and frameworks, Heroku has a broader ecosystem with official support for more languages, including Ruby, Node.js, Python, and Java. Scalingo, although it supports several popular languages like Ruby, Python, and Go, does not have as extensive a language support as Heroku. Therefore, the choice between the two platforms may depend on the specific programming language requirements of the application.

  4. Scaling Capabilities: When it comes to scaling applications, Heroku provides flexible vertical scaling options, allowing users to easily increase or decrease the resources dedicated to an application dyno. They also offer Horizontal Scaling through load balancing for better performance. On the other hand, Scalingo provides both vertical and horizontal scaling capabilities but with a more automated approach. Scalingo automatically scales the resources allocated to an application based on its needs, ensuring optimal performance and resource efficiency.

  5. Ease of Use: Heroku is known for its simplicity and ease of use. It provides an intuitive web-based interface and a command-line interface (CLI) that make it effortless to manage applications, scale resources, and monitor performance. Scalingo also offers a user-friendly interface, but it goes a step further by providing a full-featured API and a powerful CLI tool that allows for advanced automation and integration possibilities. The additional automation capabilities of Scalingo make it a preferred choice for teams that rely heavily on infrastructure-as-code and want to streamline their workflows.

  6. Third-Party Integrations: Heroku has a rich ecosystem of add-ons, which are pre-built services that can easily be integrated into an application, such as databases, log management tools, and monitoring services. Scalingo also offers third-party integrations, but its add-on marketplace is not as extensive as Heroku's. This can be a consideration for teams that heavily rely on specific add-ons or prefer a wider range of options for integrating additional services into their applications.

In Summary, Heroku and Scalingo have their unique strengths and differences. Heroku offers a wider language support, Git-focused deployment, and a rich add-on ecosystem, while Scalingo provides a more flexible and cost-effective pricing model, multiple deployment options, automatic scaling, advanced automation capabilities, and a powerful CLI tool. The choice between the two platforms would depend on specific requirements, preferences, and priorities of the development team.

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Detailed Comparison

Heroku
Heroku
Scalingo
Scalingo

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Scalingo is a Docker native Platform as a Service. You just have to push your code, our platform takes care of the rest.

Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.;Run and scale any type of app.;Total visibility across your entire app.;Erosion-resistant architecture. Rich control surfaces.
git push based workflow;PostgreSQL as a Service;MySQL as a Service;MongoDB as a Service;Redis as a Service;Elasticsearch as a Service;API;Command Line Client;web dashboard; free SSL support;open source buildpacks;buildpacks;Meteor;MeteorJS
Statistics
Stacks
25.8K
Stacks
13
Followers
20.5K
Followers
5
Votes
3.2K
Votes
5
Pros & Cons
Pros
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
Cons
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    Storage
  • 7
    No usable MySQL option
  • 5
    Low performance on free tier
Pros
  • 1
    Excellent customer support
  • 1
    Quick & Easy setup
  • 1
    Data hosted in Europe
  • 1
    Many hosted technologies
  • 1
    Database as a service
Integrations
Mailgun
Mailgun
Postmark
Postmark
Loggly
Loggly
Papertrail
Papertrail
Redis Cloud
Redis Cloud
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Nitrous.IO
Nitrous.IO
Logentries
Logentries
MongoLab
MongoLab
Gemfury
Gemfury
No integrations available

What are some alternatives to Heroku, Scalingo?

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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