AWS Elastic Beanstalk vs Domino

Overview

AWS Elastic Beanstalk

Stacks2.1K

Followers1.8K

Votes241

Domino

Stacks26

Followers29

Votes0

AWS Elastic Beanstalk vs Domino: What are the differences?

Introduction: In this comparison, we will outline the key differences between AWS Elastic Beanstalk and Domino to help users understand their unique features and functionalities.

Deployment and Scaling: AWS Elastic Beanstalk provides automatic scaling of the application based on traffic, whereas Domino focuses more on collaborative data science workflows and model deployment rather than auto-scaling capabilities.
Supported Languages: Elastic Beanstalk supports a wider range of programming languages compared to Domino, which is more focused on Python and R for data science purposes.
Management and Monitoring: Elastic Beanstalk offers a broader set of monitoring and management tools, allowing users to track application health, performance, and logs easily, while Domino focuses more on reproducibility and version control in data science projects.
Ease of Use: Elastic Beanstalk provides a more user-friendly interface for developers who want to quickly deploy and manage their applications, while Domino caters to data scientists and researchers who require a robust platform for collaborative analysis and experimentation.
Customization and Control: Elastic Beanstalk allows more customization options for infrastructure and application configurations, giving advanced users more control over their environment, whereas Domino abstracts much of the infrastructure management for data scientists, focusing on simplifying their workflow.
Integration with Other AWS Services: AWS Elastic Beanstalk seamlessly integrates with various AWS services like RDS, S3, and CloudWatch, providing a comprehensive ecosystem for building and running applications, while Domino offers integrations with data science tools like Jupyter notebooks and RStudio Server for enhanced collaboration and analysis capabilities.

In Summary, AWS Elastic Beanstalk and Domino differ in deployment and scaling capabilities, supported languages, management tools, ease of use, customization options, and integrations with other services.

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CLI (Node.js)

Manual

Advice on AWS Elastic Beanstalk, Domino

Mehdi

Managing Director at Gigadrive

Sep 17, 2022

Decided

Platform.sh has great out-of-the-box support for PHP apps (especially Symfony, as it was made by the same people). Elastic Beanstalk does not have a lot of compelling PaaS features like Platform.sh. There, you have to install a lot of PHP extensions manually for example, while Platform.sh just handles it for you based on your config. Elastic Beanstalk also has terrible version updates (see link).

13.6k views13.6k

Comments

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

AWS Elastic Beanstalk	Domino
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.	Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.
Elastic Beanstalk is built using familiar software stacks such as the Apache HTTP Server for Node.js, PHP and Python, Passenger for Ruby, IIS 7.5 for .NET, and Apache Tomcat for Java;There is no additional charge for Elastic Beanstalk - you pay only for the AWS resources needed to store and run your applications.;Easy to begin – Elastic Beanstalk is a quick and simple way to deploy your application to AWS. You simply use the AWS Management Console, Git deployment, or an integrated development environment (IDE) such as Eclipse or Visual Studio to upload your application;Impossible to outgrow – Elastic Beanstalk automatically scales your application up and down based on default Auto Scaling settings;Complete control – Elastic Beanstalk lets you "open the hood" and retain full control over the AWS resources powering your application;Flexible – You have the freedom to select the Amazon EC2 instance type that is optimal for your application based on CPU and memory requirements, and can choose from several available database options;Reliable – Elastic Beanstalk runs within Amazon's proven network infrastructure and datacenters, and provides an environment where developers can run applications requiring high durability and availability.	Domino Cloud supports the most powerful data analysis languages — Python, R, MATLAB, and Julia;Modern and powerful cluster management;Use a single-core machine during development; then, with one click, scale up to a 32-core machine to crunch through that data quickly;Domino installs, maintains, and updates common platform dependencies so you never get stuck in “version hell” again;Domino automatically keeps a revisioned history of all three — code, data, and results — so you can always reproduce past work;Easy synchronization, Email notifications & reports, and Discusscussions
Statistics
Stacks 2.1K	Stacks 26
Followers 1.8K	Followers 29
Votes 241	Votes 0
Pros & Cons
Pros 77 Integrates with other aws services 65 Simple deployment 44 Fast 28 Painless 16 Free Cons 2 Charges appear automatically after exceeding free quota 1 Lots of moving parts and config 0 Slow deployments	No community feedback yet
Integrations
Docker Papertrail	No integrations available

What are some alternatives to AWS Elastic Beanstalk, Domino?

Heroku

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.

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 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

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.

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

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

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 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

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

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.

Related Comparisons

AWS Elastic Beanstalk vs Domino: What are the differences?

Introduction: In this comparison, we will outline the key differences between AWS Elastic Beanstalk and Domino to help users understand their unique features and functionalities.

Deployment and Scaling: AWS Elastic Beanstalk provides automatic scaling of the application based on traffic, whereas Domino focuses more on collaborative data science workflows and model deployment rather than auto-scaling capabilities.
Supported Languages: Elastic Beanstalk supports a wider range of programming languages compared to Domino, which is more focused on Python and R for data science purposes.
Management and Monitoring: Elastic Beanstalk offers a broader set of monitoring and management tools, allowing users to track application health, performance, and logs easily, while Domino focuses more on reproducibility and version control in data science projects.
Ease of Use: Elastic Beanstalk provides a more user-friendly interface for developers who want to quickly deploy and manage their applications, while Domino caters to data scientists and researchers who require a robust platform for collaborative analysis and experimentation.
Customization and Control: Elastic Beanstalk allows more customization options for infrastructure and application configurations, giving advanced users more control over their environment, whereas Domino abstracts much of the infrastructure management for data scientists, focusing on simplifying their workflow.
Integration with Other AWS Services: AWS Elastic Beanstalk seamlessly integrates with various AWS services like RDS, S3, and CloudWatch, providing a comprehensive ecosystem for building and running applications, while Domino offers integrations with data science tools like Jupyter notebooks and RStudio Server for enhanced collaboration and analysis capabilities.

AWS Elastic Beanstalk vs Domino

Overview