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  1. Stackups
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  4. Code Collaboration Version Control
  5. Beanstalk vs Terraform

Beanstalk vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Beanstalk
Beanstalk
Stacks85
Followers270
Votes51
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Beanstalk vs Terraform: What are the differences?

Key Differences between Beanstalk and Terraform

Beanstalk and Terraform are both popular tools used in software development and deployment, but they have some key differences. Below are six of the main differences between Beanstalk and Terraform:

  1. Purpose and Functionality: Beanstalk is a fully-managed service provided by AWS that helps in deploying and scaling applications, while Terraform is an infrastructure provisioning tool that allows users to define and provision infrastructure resources across various cloud providers. Beanstalk is more focused on application deployment, while Terraform is more focused on infrastructure management.

  2. Configuration Language: Beanstalk uses AWS-specific configuration files written in YAML or JSON format for specifying the application settings and environment details. On the other hand, Terraform uses its own configuration language called HashiCorp Configuration Language (HCL), which provides a more expressive and flexible syntax for defining infrastructure resources.

  3. Infrastructure as Code vs. Platform as a Service: Terraform follows the Infrastructure as Code (IaC) approach, where infrastructure resources are defined as code and can be version controlled. It allows for more granular control and customization of infrastructure resources. Beanstalk, on the other hand, is more of a Platform as a Service (PaaS) offering, where the underlying infrastructure is abstracted away, and users only need to focus on deploying their applications without worrying about the underlying infrastructure details.

  4. Vendor Lock-In: Beanstalk is tightly integrated with AWS services and is specifically designed for use within the AWS ecosystem. This can result in vendor lock-in, where users may have difficulties migrating their applications to other cloud providers. Terraform, on the other hand, is provider-agnostic and supports multiple cloud providers, allowing users to define infrastructure resources in a portable and modular way.

  5. Granularity and Flexibility: Beanstalk provides a higher level of abstraction and automation, making it easier to use but with less flexibility and control over infrastructure resources. Terraform, on the other hand, allows for more fine-grained control and customization of infrastructure resources. Users can define and manage complex infrastructure setups and configurations using Terraform's extensive provider ecosystem and flexible configuration language.

  6. Community and Ecosystem: Beanstalk is a product of AWS and has a large user base and community support. It provides a user-friendly interface and integrates well with other AWS services. Terraform, on the other hand, is an open-source tool maintained by HashiCorp and has a growing community and ecosystem. It supports a wide range of cloud providers and has a rich set of community-contributed provider plugins and modules.

In summary, Beanstalk is a fully-managed service focused on application deployment in the AWS ecosystem, while Terraform is an open-source infrastructure provisioning tool that allows for more flexible and granular control over infrastructure resources across multiple cloud providers.

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Advice on Beanstalk, Terraform

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.25M views2.25M
Comments
Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments
Daniel
Daniel

May 4, 2020

Decided

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

426k views426k
Comments

Detailed Comparison

Beanstalk
Beanstalk
Terraform
Terraform

A single process to commit code, review with the team, and deploy the final result to your customers.

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Setup and manage repositories- Import or create Subversion and Git repositories that are instantly available to your team.;Invite team members, partners & clients- Restrict access to certain repos and provide read-only or full read/write permissions.;Browse files and changes- Every version of every file you’ve committed to Beanstalk is just a click away. See a timeline of who made changes and view the differences between revisions. Syntax highlighting for over 70 languages.;Preview, Compare & Share- Instantly preview HTML and image files in Beanstalk, compare versions side by side, and share them with your team, colleagues or clients, even if they don’t have a Beanstalk account.;Code Editing- Make and commit changes directly in the web interface of Beanstalk.;Blame Tool- View the line-by-line history of every file using Beanstalk's blame tool. Quickly see who was responsible for each line of code and which revision it belonged to.;Instantly deploy static assets from Beanstalk to your development, staging and production servers via Amazon S3, Rackspace Cloud Files, Heroku, DreamObjects;
Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Statistics
GitHub Stars
-
GitHub Stars
47.0K
GitHub Forks
-
GitHub Forks
10.1K
Stacks
85
Stacks
22.9K
Followers
270
Followers
14.7K
Votes
51
Votes
344
Pros & Cons
Pros
  • 14
    Ftp deploy
  • 9
    Deployment
  • 8
    Easy to navigate
  • 4
    Integrations
  • 4
    Code Editing
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
Amazon S3
Amazon S3
Amazon CloudFront
Amazon CloudFront
Basecamp
Basecamp
Campfire
Campfire
FogBugz
FogBugz
Lighthouse
Lighthouse
Harvest
Harvest
Zendesk
Zendesk
HipChat
HipChat
Bugify
Bugify
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine

What are some alternatives to Beanstalk, Terraform?

GitHub

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

Bitbucket

Bitbucket

Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.

GitLab

GitLab

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

Ansible

Ansible

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

RhodeCode

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

AWS CodeCommit

AWS CodeCommit

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Gogs

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

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