Terraform vs. Ansible : Key Differences and Comparison of Tools

What is the difference between Terraform and Ansible? Terraform provisions and manages cloud infrastructure as code, while Ansible configures that infrastructure and deploys applications onto it.

Terraform is a declarative provisioning and orchestration tool. Ansible is a procedural configuration management tool. They overlap, but most teams run them together using Terraform to build the infrastructure, then Ansible to configure it.

This guide compares Terraform and Ansible from people who have worked with both, covers where each one wins, and shows how to combine them.

Terraform lets you provision, manage, and deploy infrastructure as code (IaC) using a declarative configuration language called HashiCorp Configuration Language (HCL). It is one of the most widely adopted IaC tools available.

HashiCorp originally released Terraform as open source under the Mozilla Public License 2.0 (MPL 2.0). In August 2023, HashiCorp relicensed it under the Business Source License (BUSL 1.1), a source-available license that restricts commercial use that competes with HashiCorp’s own products. In February 2025, IBM completed its acquisition of HashiCorp, so Terraform is now an IBM product.

Key features of Terraform:

• State management: Terraform tracks resources and their configuration in a state file.
• Declarative code: Users describe the desired state of their infrastructure, and Terraform manages it.
• Widely adopted: Terraform has a huge ecosystem, with thousands of providers and modules covering all major clouds and many SaaS platforms.
• Declarative language: You can divide your infrastructure into multiple reusable modules.

Note on OpenTofu: After the Terraform license change, the community created OpenTofu, a fully open-source fork of Terraform that stays compatible with existing Terraform code. Many teams treat Terraform as the original upstream and OpenTofu as the open-source continuation. If you’re evaluating Terraform today, it’s worth considering both. You can read more in our guide: OpenTofu vs Terraform : Key Differences and Comparison.

Ansible is a software tool designed for cross-platform automation and orchestration at scale. Written in Python and backed by RedHat and a loyal open-source community, it is a command-line IT automation application widely used for configuration management, infrastructure provisioning, and application deployment use cases.

For enterprise use, Red Hat offers the Ansible Automation Platform (AAP), which adds a graphical dashboard, role-based access control (RBAC), analytics, and integrations on top of upstream Ansible. Recent releases focus on AI-assisted authoring through Ansible Lightspeed with IBM watsonx Code Assistant, workflow analytics, and self-service automation, which make Ansible easier for larger teams to adopt.

Key features of Ansible:

• YAML: A popular, simple data format that is easy for humans to understand.
• Modules: Reusable standalone scripts that perform a specific task
• Playbooks: A playbook is a YAML file that expresses configurations, deployments, and Orchestration in Ansible. They contain one or multiple plays.
• Plays: Subset within a playbook. Defines a set of tasks to run on a specific host or group of hosts.
• Inventories: All the machines you use with Ansible are listed in a single simple file, together with their IP addresses, databases, servers, and other details.
• Roles: Redistributable units of organization that make it easier for users to share automation code.

At a very high level, given the capabilities of both the products, Terraform and Ansible come across as similar tools. Both of them are capable of provisioning the new cloud infrastructure and configuring it with the required application components.

Both Terraform and Ansible are capable of executing remote commands on the virtual machine that is newly created. This means that both tools are agentless. There is no need to deploy agents on the machines for operational purposes.

Terraform uses cloud provider APIs to create infrastructure, and basic configuration tasks are achieved using SSH. The same goes with Ansible – it uses SSH to perform all the required configuration tasks. The “state” information for both does not require a separate set of infrastructure to manage, thus both tools are masterless.

The previous section provides an overview of the two tools, focusing on their broadest similarities. At a high level, it sounds like both Terraform and Ansible can handle provisioning and configuration management. However, a deeper dive reveals the benefits of one over the other in certain areas.

In general, both tools are great in their own ways. They overlap in functions when it comes to infrastructure management. Infrastructure management broadly encompasses two aspects – orchestration and configuration management. 

Terraform and Ansible have their own ways of managing both, with strengths and weaknesses when it comes to overlaps. Thus, it is important to delve into some details of both the tools to make a “perfect” choice or a combination with boundaries.

The table below summarizes the similarities and differences between Ansible and Terraform:

	Ansible	Terraform
Type	Configuration management tool	Provisioning and orchestration tool
Syntax	YAML	HCL
Language	Procedural (imperative)	Declarative
Default approach	Mutable infrastructure	Immutable infrastructure
Cloud support	All major clouds	All major clouds
State management	No persistent state	Tracked in state files
Lifecycle management	Limited	Full
Packaging and templating	Full support (roles, collections)	Partial support (modules)
Core capability	Provisioning and configuration	Provisioning and configuration
Agentless	Yes	Yes
Best for	Day 1 and beyond: configuration, app deployment	Day 0: provisioning infrastructure
AI assistance	Ansible Lightspeed with IBM watsonx Code Assistant	HCP and ecosystem tooling
License	Open source (GPL-3.0)	Business Source License (BUSL 1.1)
Maintained by	Red Hat	HashiCorp (IBM)

1. Orchestration vs. configuration management

Orchestration/provisioning is the process of creating infrastructure – virtual machines, network components, databases, etc. On the other hand, configuration management is the process of automating the installation of versioned software components, OS configuration tasks, network and firewall configuration, etc.

Both Terraform and Ansible can perform both tasks. However, Terraform manages the full infrastructure lifecycle. Terraform uses cloud provider APIs to provision and de-provision the infrastructure based on declared resources.

Ansible, on the other hand, is also capable of provisioning the cloud infrastructure, but it is not comprehensive enough. It is mainly geared towards configuration management. Configuration management is a process of keeping the applications and dependencies up to date. This is where Ansible really shines as compared to Terraform.

Both tools can perform both kinds of activities. However, there are limitations when implementing configuration management using Terraform and infrastructure automation using Ansible. They are not flexible enough for complex infrastructure management.

Logically, we can identify orchestration as Day 0 activity and configuration management as Day 1 activity. Terraform works best for Day 0 activities, and Ansible for Day 1 and onwards activities.

2. Declarative vs. procedural language

Terraform is used to write Infrastructure as Code (IaC). It uses HCL (Hashicorp Configuration Language) which is declarative in nature. It doesn’t matter in which sequence the code is written. The code could also be dispersed in multiple files.

No matter how you write the code, Terraform identifies the dependencies, and provisions infrastructure. Writing or translating existing infrastructure to code is easy in Terraform. Check this Terraform import tutorial if you would like to know more about importing infrastructure under Terraform management.

Ansible uses YAML syntax to define the procedure to perform on the target infrastructure. Ansible YAML scripts are procedural in nature – meaning when you write the script, it will be executed from top to bottom.

Ansible scripts are called “ansible playbooks“. When you have to perform a certain series of tasks, you define them in the playbook. The tasks will be performed in the sequence they are written. For example, to install an Apache server on the given virtual machine as the root user, you would need to write the user-creation step before defining the installation task.

3. Mutable vs. immutable infrastructure

The application deployment workflow involves provisioning the infrastructure and installing the correct version of the source code and dependencies on it.

Mutability is an attribute of the underlying infrastructure that defines how newer versions of applications and services are deployed. Deployment can either take place on existing infrastructure or we can provision a completely new set of infrastructure.

The deployment practices typically determine whether the infrastructure is mutable or immutable. When newer versions of applications are released on the same infrastructure, it is called mutable. However, if the deployment happens on completely new infrastructure during releases, it is said to be immutable.

Mutability seems convenient, but the risk of failure associated with it is higher. When application configurations are re-applied on the same infrastructure, there are additional steps of uninstalling the previous version and then installing the desired version. More steps also introduce more chances of failure. Doing this for a fleet of servers can result in uneven configurations and unpredictable behavior.

Instead, if we focus on reducing the number of steps by ignoring the uninstallation procedure and performing the installation on new infrastructure resources, we get a chance to test and revert the new deployment in case of failure. Treating infrastructure as immutable in this way provides greater control over introducing changes.

However, there is no golden rule defined that advocates one approach over the other. 

Since Terraform’s strength lies in handling the infrastructure lifecycle, it supports infrastructure immutability better. It is easier to provision a completely new set of infrastructure and deprovision the older set using Terraform. However, handling configuration changes is not something that can be done in the most efficient manner.

As far as the configuration changes are concerned, Ansible wins the race since it is primarily a configuration management tool. Ansible supports infrastructure immutability by offering VM image creation. However, maintaining these additional images requires additional efforts.

It is recommended to follow the immutable infrastructure approach, where Terraform takes care of the infrastructure management, and Ansible helps apply the changed configuration. This is also known as the Blue/Green deployment strategy, where the risk of configuration failure is reduced.

4. State management

Terraform manages the entire lifecycle of the resources under its management. It maintains the mapping of infrastructure resources with the current configuration in state files. State management plays a very important role in Terraform.

States are used to track changes to the configuration and provision the same. It is also possible to import existing resources under Terraform management by importing the real-world infrastructure in state files. 

At any given time, it is possible to query the Terraform state files to understand the infrastructure components and their attributes currently available.

As opposed to this, Ansible does not support lifecycle management. Since Ansible mainly deals with configuration management, it typically works with mutable infrastructure: changes are executed directly on the target resources.

5. Configuration drift

Configuration drift refers to the difference between the desired and actual state of your configuration. One of the most common reasons for this is that engineers/machines make changes outside the configuration.

If you are using Terraform to manage your infrastructure and you make a change outside it, you’ve introduced drift. Drift happens, and solutions like Spacelift’s drift detection not only detect the drift but can optionally remediate it, too.

While both Ansible and Terraform aim to mitigate drift, their methodologies differ. Ansible relies on idempotent tasks and continuous execution without maintaining a persistent state of the infrastructure. In contrast, Terraform relies on a stored state to detect and manage drift, emphasizing a declarative approach to infrastructure as code.

Terraform is designed to provision infrastructure resources, while Ansible to manage configurations and deploy applications. Use Terraform when you need to provision, manage, or version cloud infrastructure resources, and Ansible when you need to configure servers, deploy applications, or enforce system state. Use both when your automation spans both infrastructure creation and system configuration.

Use Terraform when:

• Creating or modifying cloud infrastructure (e.g., EC2 instances, S3 buckets, VPCs).
• Managing infrastructure as code across multiple cloud providers.
• Needing reproducible, versioned infrastructure changes with dependency resolution.

Use Ansible when:

• Installing packages, configuring services, or managing OS-level settings.
• Automating app deployment or patching across servers.
• Needing ad hoc or agentless automation over SSH.
  

Use both when:

• You provision infrastructure with Terraform, then configure it with Ansible.
• You want a clear separation between the infrastructure lifecycle (Terraform) and the software lifecycle (Ansible).

Read more: Using Terraform & Ansible Together

Managing Ansible and Terraform side by side gets messy fast with separate pipelines, separate state, and no single view of what ran where. Spacelift is an infrastructure orchestration platform that manages both from one place.

With its GitOps flow and broad integration ecosystem, Spacelift orchestrates Ansible and Terraform together. You can build custom workflows triggered by pull requests and apply compliance checks across your organization.

Better still, you can manage Ansible, Terraform, OpenTofu, Pulumi, AWS CloudFormation, and Kubernetes from the same control plane and combine their Stacks into workflows that span tools.

For example, set up a Terraform Stack to provision your infrastructure (a set of AWS EC2 instances with their dependencies), then connect it to an Ansible Stack that configures those instances using stack dependencies. Use Spacelift Templates to standardize and reuse these multi-tool patterns across teams.

If you want to learn more about Spacelift working with Ansible or Terraform, check our documentation or book a demo with one of our engineers.

Which is better: Terraform or Ansible? Ansible and Terraform are complementary tools rather than direct replacements for each other. Terraform excels in provisioning infrastructure as code (IaC), making it ideal for creating and managing infrastructure resources like virtual machines, networks, and storage. Ansible, on the other hand, is primarily a configuration management tool, better suited for automating tasks like application deployment, software updates, and configuration changes.

While both tools can handle aspects of infrastructure management, Terraform is typically used for “Day 0” activities, such as setting up the initial infrastructure, while Ansible is used for “Day 1 and beyond” tasks, focusing on configuring and maintaining systems. In many workflows, these tools are used together to achieve end-to-end automation rather than replacing one with the other.