StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Continuous Integration
  4. Continuous Integration
  5. CircleCI vs Terraform

CircleCI vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

CircleCI
CircleCI
Stacks14.5K
Followers7.1K
Votes974
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

CircleCI vs Terraform: What are the differences?

Introduction:

Markdown code is a lightweight markup language that is commonly used for formatting text on websites. In this task, we will format the provided information about the key differences between CircleCI and Terraform using Markdown code.

  1. CircleCI vs Terraform: Ease of Use CircleCI is focused on continuous integration and delivery, providing an easy-to-use platform for building, testing, and deploying applications. On the other hand, Terraform is an infrastructure as code tool, which requires more technical knowledge and expertise to use effectively.

  2. CircleCI vs Terraform: Purpose CircleCI is primarily used for automating the continuous integration and delivery processes, enabling teams to continuously build, test, and deploy their applications. In contrast, Terraform is designed for provisioning and managing infrastructure resources across various cloud providers, allowing for infrastructure automation.

  3. CircleCI vs Terraform: Scope of Functionality CircleCI has a narrower focus and primarily deals with the CI/CD pipeline, offering features such as source code versioning, testing, and deployment. In comparison, Terraform has a broader scope, providing infrastructure provisioning, resource management, and configuration across multiple cloud platforms.

  4. CircleCI vs Terraform: Integration with Other Tools CircleCI can integrate with various tools and services commonly used in the software development workflow, such as source code repositories (e.g., GitHub, Bitbucket) and notification systems (e.g., Slack, email). Terraform, on the other hand, integrates with infrastructure providers like AWS, Azure, and GCP, enabling the management of infrastructure resources through their APIs.

  5. CircleCI vs Terraform: Configuration Syntax CircleCI uses a YAML-based configuration file (.circleci/config.yml) to define the steps and settings for the CI/CD pipeline. On the other hand, Terraform uses its own declarative scripting language called HashiCorp Configuration Language (HCL) to define the desired infrastructure state and the actions required to achieve it.

  6. CircleCI vs Terraform: Deployment Workflow CircleCI follows a linear deployment workflow, where each step in the pipeline is executed in sequence. Terraform, on the other hand, supports a more flexible deployment workflow, allowing for parallel execution of infrastructure changes, enabling efficient and faster infrastructure provisioning.

In summary, CircleCI and Terraform differ in terms of ease of use, purpose, scope of functionality, integration with other tools, configuration syntax, and deployment workflow.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on CircleCI, 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

CircleCI
CircleCI
Terraform
Terraform

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

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.

Language-Inclusive Support;Custom Environments;Flexible Resource Allocation;SSH Or Local Builds For Easy Debugging;Improved Caching;Unmatched Security;Parallelism;Insights
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
14.5K
Stacks
22.9K
Followers
7.1K
Followers
14.7K
Votes
974
Votes
344
Pros & Cons
Pros
  • 226
    Github integration
  • 177
    Easy setup
  • 153
    Fast builds
  • 94
    Competitively priced
  • 74
    Slack integration
Cons
  • 12
    Unstable
  • 6
    Scammy pricing structure
  • 0
    Aggressive Github permissions
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
dotCloud
dotCloud
GitHub
GitHub
Xcode
Xcode
Azure Container Service
Azure Container Service
Slack
Slack
Heroku
Heroku
JavaScript
JavaScript
Node.js
Node.js
Python
Python
Amazon EC2
Amazon EC2
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 CircleCI, Terraform?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

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.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana