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Clever Cloud vs Heroku: What are the differences?

Introduction

This Markdown code provides a comparison between Clever Cloud and Heroku, two popular cloud platforms. It highlights the key differences between these platforms, allowing users to make an informed decision on which one best suits their needs.

  1. Pricing Structure: Clever Cloud offers a pay-as-you-go pricing structure, allowing users to pay only for the resources they consume. On the other hand, Heroku adopts a dyno-based pricing model, which charges based on the number and type of dynos used. This means that Clever Cloud provides more flexibility and cost control for users.

  2. Supported Languages and Runtimes: Clever Cloud supports a wide range of programming languages and runtimes, including Java, PHP, Node.js, Python, Ruby, and more. In contrast, Heroku mainly focuses on supporting popular languages like Ruby, Node.js, Java, Python, and Go. Clever Cloud provides more options for developers to choose the language that best fits their project requirements.

  3. Deployment Options: Clever Cloud supports both traditional Git-based deployments and container-based deployments using Docker. Users can seamlessly deploy applications using Git push or Docker images. On the other hand, Heroku primarily relies on Git-based deployments, making it convenient for developers familiar with Git workflows but limiting the flexibility of deployment options.

  4. Auto-Scaling Abilities: Clever Cloud offers automatic horizontal and vertical scaling of applications, allowing them to handle increased traffic or resource demands. Heroku also provides scaling options, but it requires manual configuration, making Clever Cloud more suitable for applications with fluctuating traffic patterns and increased scalability requirements.

  5. Data Management and Integration: Clever Cloud offers various add-ons and services for data management, caching, logging, monitoring, and integration with third-party providers. Heroku also provides similar add-ons, but Clever Cloud has a broader range of offerings, including specific services for different databases, messaging queues, and more. Clever Cloud provides more comprehensive solutions for managing and integrating different aspects of an application's infrastructure.

  6. Geographical Availability: Clever Cloud has data centers in multiple locations across Europe, Asia, and the Americas, offering geographically distributed deployment options for better latency and disaster recovery. Heroku, on the other hand, primarily relies on data centers located in the United States, limiting the geographical availability and potentially impacting the performance for users outside of the United States.

In summary, Clever Cloud offers a more flexible pricing structure, supports a wider range of programming languages, provides diverse deployment options, offers automatic scaling abilities, has comprehensive data management and integration solutions, and has broader geographical availability compared to Heroku.

Decisions about Clever Cloud and Heroku
Ben Diamond
Web Designer & Developer at Self-employed · | 6 upvotes · 15.7K views

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.

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The Friendliest.app started on Heroku (both app and db) like most of my projects. The db on Heroku was on the cusp of becoming prohibitively expensive for this project.

After looking at options and reading recommendations we settled on Render to host both the application and db. Render's pricing model seems to scale more linearly with the application instead of the large pricing/performance jumps experienced with Heroku.

Migration to Render was extremely easy and we were able to complete both the db and application moves within 24 hours.

The only thing we're really missing on Render is a CLI. With Heroku, we could manage everything from the command line in VSCode. With Render, you need to use the web shell they provide.

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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.

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