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  4. Platform As A Service
  5. Heroku vs Jelastic

Heroku vs Jelastic

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Jelastic
Jelastic
Stacks38
Followers60
Votes74

Heroku vs Jelastic: What are the differences?

<Write Introduction here>
  1. Deployment Approach: Heroku uses a Git-based deployment approach where developers push their code to a Git repository, and Heroku automatically builds and deploys the application. In contrast, Jelastic supports various deployment methods, including Git, FTP, and SSH, providing more flexibility in how developers can deploy their applications.

  2. Scalability Options: Heroku offers vertical scalability, allowing users to increase resources like memory and CPU of a single dyno. On the other hand, Jelastic supports horizontal scalability, enabling users to add or remove instances of containers dynamically to handle fluctuations in workload, providing better scalability options for complex applications.

  3. Pricing Model: Heroku follows a pay-as-you-go pricing model based on resources consumed, such as dyno hours and add-ons. In contrast, Jelastic offers a container-based pricing model, where users pay for the resources allocated to each container, providing more cost-effective options for predictable workloads or when running multiple applications.

  4. Supported Languages and Stacks: Heroku primarily supports popular programming languages and frameworks like Ruby, Python, Node.js, and Java, making it ideal for web developers. In comparison, Jelastic supports a wider range of languages and stacks, including PHP, Java, Ruby, Python, Node.js, .NET, providing more options for diverse application development requirements.

  5. Control and Customization: Heroku abstracts much of the underlying infrastructure and platform details, limiting the level of control and customization available to users. In contrast, Jelastic offers more control over the environment, allowing users to tweak platform settings, install custom software, and manage network configurations to meet specific application requirements effectively.

  6. High Availability and Failover: Heroku provides high availability with its robust infrastructure and automatic failover mechanisms. Conversely, Jelastic offers advanced high availability features like automatic horizontal scaling and automated disaster recovery for improved resilience and fault tolerance in production environments.

In Summary, Heroku and Jelastic differ in their deployment approach, scalability options, pricing models, supported languages, control and customization levels, and high availability features, catering to different needs of developers based on specific requirements and preferences.

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Advice on Heroku, Jelastic

Alex
Alex

Oct 20, 2020

Decided

I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!

Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.

Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.

101k views101k
Comments
Ben
Ben

Web Designer & Developer at Self-employed

Apr 12, 2022

Decided

As I was running through freeCodeCamp's curriculum, I was becoming frustrated by Replit's black box nature as a shared server solution for Node app testing. I wanted to move into a proper workflow with Git and a dedicated deployment solution just for educational or non-commercial purposes. Heroku solved that for me in spades.

Not only does Heroku support free app deployment if you don't use their extra service handlers, but you can directly hook into your GitHub repos and automatically update the app whenever you commit to the main branch. It's a simple way to get an app running as fast as possible if you wish to share a proof of concept or prototype before moving to dedicated servers.

18.1k views18.1k
Comments
Alejandro
Alejandro

May 13, 2022

Review

I recently came across a training course on using Django and React together. That got me thinking about how to serve up the project and remember that Heroku had a great interface for serving up my Django/Python App so I would think it should work. Figured I would throw in my 2 cents, not sure if it helps.

1.26k views1.26k
Comments

Detailed Comparison

Heroku
Heroku
Jelastic
Jelastic

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.

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.

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.
Public, Private, Hybrid and Multi-Cloud deployments;Support of microservices and legacy applications with zero code changes;Automated continuous integration, delivery and upgrade processes;More than 50 certified containers out-of-the-box;Managed multi-tenant Kubernetes and Docker containers support;Automatic vertical and horizontal scaling according to applications load;Superb developer web portal for easy provisioning, scaling and updating environments;Open API, CLI and SSH access;Automated replication for application servers and databases;Comprehensive billing engine, quotas and access control policies
Statistics
Stacks
25.8K
Stacks
38
Followers
20.5K
Followers
60
Votes
3.2K
Votes
74
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
    No usable MySQL option
  • 7
    Storage
  • 5
    Low performance on free tier
Pros
  • 13
    Automatic scaling
  • 12
    Managed hosting
  • 12
    Pay-per-Use on an hourly basis
  • 8
    Constantly evolving
  • 6
    Multiple hosting providers
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
Spring Boot
Spring Boot
Jenkins
Jenkins
Kubernetes
Kubernetes
Docker
Docker
WordPress
WordPress
PostgreSQL
PostgreSQL
NGINX
NGINX
MongoDB
MongoDB
Cassandra
Cassandra
GitLab
GitLab

What are some alternatives to Heroku, Jelastic?

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.

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.

CapRover

CapRover

It is an extremely easy to use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface.

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