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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Java Build Tools
  5. Apache Maven vs Terraform

Apache Maven vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Apache Maven
Apache Maven
Stacks3.4K
Followers1.7K
Votes414
GitHub Stars4.8K
Forks2.8K
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Apache Maven vs Terraform: What are the differences?

Introduction

In the world of DevOps and software development, tools like Apache Maven and Terraform play crucial roles in building and managing projects efficiently. However, they serve different purposes and have unique features that distinguish them from each other.

  1. Packaging and Build Automation: Apache Maven is primarily a build automation tool used for building and managing any Java-based project. It is focused on project object model (POM) file to manage project's build, reporting, and documentation. On the other hand, Terraform is an infrastructure as code tool used for building, changing, and versioning infrastructure safely and efficiently.

  2. Technology Support: Apache Maven is specifically designed for Java projects and provides extensive support for building Java applications. It also supports other programming languages, but its core functionality is tailored for Java. In contrast, Terraform is language-agnostic and can be used to manage infrastructure components across multiple cloud providers, making it versatile for various types of projects.

  3. Dependency Management: Apache Maven excels in dependency management by automatically downloading the necessary dependencies required for the project. It can efficiently manage dependencies, resolve conflicts, and ensure the project builds successfully. Terraform, on the other hand, focuses on managing infrastructure resources and their dependencies in a declarative manner, rather than managing code dependencies.

  4. Execution Environment: The primary focus of Apache Maven is on the build lifecycle and providing a standard way to build and package Java projects. It is executed on the developer's local machine or on a build server to generate the project artifacts. Conversely, Terraform focuses on infrastructure provisioning and is typically used to define, plan, and apply infrastructure changes on cloud providers through its command-line interface or integration with CI/CD pipelines.

  5. State Management: Apache Maven does not have a built-in feature for managing state information about the project. In contrast, Terraform emphasizes state management to keep track of the existing infrastructure configuration and desired state, allowing it to plan and execute changes accurately without causing any disruptions.

  6. Community Ecosystem: Apache Maven has a vast community of developers and extensive repositories of plugins and libraries to enhance its functionality. It benefits from a mature ecosystem that supports various build and automation tasks. On the contrary, Terraform, being a newer tool, has a growing community and ecosystem that is rapidly evolving to meet the demands of modern infrastructure management.

In Summary, Apache Maven and Terraform differ in their focus on packaging and build automation, technology support, dependency management, execution environment, state management, and community ecosystem, catering to distinct needs in the software development and infrastructure provisioning processes.

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Advice on Apache Maven, 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

Apache Maven
Apache Maven
Terraform
Terraform

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

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.

Simple project setup that follows best practices - get a new project or module started in seconds;Consistent usage across all projects means no ramp up time for new developers coming onto a project;Superior dependency management including automatic updating, dependency closures (also known as transitive dependencies);Able to easily work with multiple projects at the same time;A large and growing repository of libraries and metadata to use out of the box, and arrangements in place with the largest Open Source projects for real-time availability of their latest releases;Extensible, with the ability to easily write plugins in Java or scripting languages;Instant access to new features with little or no extra configuration;Ant tasks for dependency management and deployment outside of Maven
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
4.8K
GitHub Stars
47.0K
GitHub Forks
2.8K
GitHub Forks
10.1K
Stacks
3.4K
Stacks
22.9K
Followers
1.7K
Followers
14.7K
Votes
414
Votes
344
Pros & Cons
Pros
  • 138
    Dependency management
  • 70
    Necessary evil
  • 60
    I’d rather code my app, not my build
  • 48
    Publishing packaged artifacts
  • 43
    Convention over configuration
Cons
  • 6
    Complex
  • 1
    Inconsistent buillds
  • 0
    Not many plugin-alternatives
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
No integrations available
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 Apache Maven, Terraform?

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.

Gradle

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

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.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Bazel

Bazel

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

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