Managing modern cloud-native applications often involves both infrastructure provisioning and application deployments, making it difficult to choose the right tool for each task. Helm and Terraform are two of the most widely used automation tools for these environments. Though often used together, they address different parts of the deployment process. Understanding their roles helps you automate deployments more effectively and build consistent, repeatable workflows.
This article explains the differences between Helm and Terraform, each tool’s strengths, use cases, and how to determine which one best fits your environment.
Helm vs. Terraform: Overview
The following are the key differences between Helm and Terraform:
| Feature | Helm | Terraform |
| Primary Purpose | Package manager for Kubernetes applications. | Infrastructure-as-code (IaC) tool for provisioning and managing infrastructure. |
| Scope | Kubernetes-exclusive. | Cross-platform, with support for hundreds of infrastructure and SaaS providers. |
| Primary Use Cases | Deploying, upgrading, and managing Kubernetes applications. | Provisioning cloud infrastructure, Kubernetes clusters, networking, storage, and services. |
| State Management | Tracks application releases within the Kubernetes cluster. | Uses a state file to track infrastructure and plan changes. |
| Declarative Model | Defines the desired Kubernetes application state using Helm charts. | Defines the desired infrastructure state using configuration files. |
| Configuration and Templating | Go-based templating with reusable charts and values files. | HashiCorp configuration language (HCL) with variables, modules, and expressions. |
| Rollbacks | Built-in release history and one-command rollbacks. | No native rollback; changes are reverted through configuration and state management. |
| Dependency Management | Supports chart dependencies for application components. | Automatically resolves resource dependencies using a dependency graph. |
| Resource Management | Manages Kubernetes resources within a cluster. | Manages infrastructure resources across cloud providers and platforms. |
| Ecosystem | Large collection of community Helm charts and Kubernetes integrations. | Extensive provider and module ecosystem covering cloud, SaaS, and on-premises infrastructure. |
| Integrations | Kubernetes, GitOps tools, and CI/CD platforms. | CI/CD pipelines, cloud platforms, policy tools, secret managers, and version control systems. |
| Learning Curve | Easier for users familiar with Kubernetes. | Moderate; requires understanding IaC concepts and state management. |
| Reusability | Reusable Helm charts for consistent application deployments. | Reusable Terraform modules for standardized infrastructure. |
| Security | Relies on Kubernetes RBAC, Secrets, and cluster security features. | Supports encrypted remote state, policy enforcement, IAM integration, and secret management. |
| Limitations | Limited to Kubernetes application management. | Less suitable for Kubernetes application lifecycle management than Helm. |
Helm vs. Terraform: In-Depth Comparison
Although Helm and Terraform both automate deployments, they are designed to solve different problems. Helm focuses on packaging and managing applications within Kubernetes, while Terraform provisions and manages infrastructure across cloud providers and other platforms. Understanding how they differ in purpose, capabilities, and workflows makes it easier to choose the right tool for your environment.
Purpose
Helm is a Kubernetes package manager designed to simplify the deployment, configuration, and lifecycle management of applications running on Kubernetes clusters. It bundles Kubernetes manifests into reusable packages called charts, making complex applications easier to install and maintain.
Terraform is an infrastructure as code (IaC) tool used to provision and manage infrastructure through configuration files. It automates the creation and maintenance of resources such as virtual machines, networks, storage, Kubernetes clusters, databases, and SaaS services across multiple platforms.
Learn how to provision infrastructure with Terraform to reduce your deployment time.
Scope
Helm is Kubernetes-exclusive. It only manages resources within Kubernetes clusters and cannot provision the infrastructure required to run those clusters.
Terraform is platform-agnostic and supports hundreds of providers, including public clouds, private infrastructure, Kubernetes, DNS providers, monitoring platforms, and SaaS applications. It can provision both the Kubernetes cluster and many of the services that support it.
Use Cases
Helm is commonly used by platform engineers and Kubernetes administrators. It is best suited for:
- Deploying containerized applications.
- Installing and managing Kubernetes operators.
- Managing application updates and rollbacks.
- Packaging and distributing reusable applications.
Terraform is widely used by DevOps, platform, and cloud engineering teams. It is best suited for:
- Provisioning cloud infrastructure.
- Building networking environments.
- Provisioning Kubernetes clusters.
- Provisioning and configuring managed cloud services.
- Automating complete infrastructure environments.
While there is some overlap in their capabilities, Helm focuses on managing applications within Kubernetes, whereas Terraform manages the infrastructure those applications run on.
State Management
Helm tracks application releases within the Kubernetes cluster. Each deployment stores release metadata, allowing Helm to identify installed resources, compare revisions, and perform upgrades or rollbacks.
Terraform maintains a dedicated state file that records the current infrastructure. Before making changes, Terraform compares the desired configuration with the saved state to generate an execution plan that safely updates existing resources.
Declarative Model
Both tools follow a declarative approach, where users describe the desired end state rather than the steps needed to reach it.
Helm applies the desired Kubernetes resource definitions generated from a chart. Terraform compares the desired infrastructure with its current state and determines which resources need to be created, updated, or removed to achieve the target configuration.
Not sure where to begin with Helm? Check out our Helm command cheat sheet.
Templating
Helm includes a powerful templating engine based on the Go template language. Charts support variables, conditional logic, loops, and reusable templates, making it easy to deploy the same application across multiple environments with different settings.
Terraform uses the HashiCorp Configuration Language (HCL), which emphasizes readable infrastructure definitions rather than document templating. While it supports variables, expressions, functions, loops, and conditional logic, it is designed for infrastructure configuration instead of generating YAML manifests.
Rollbacks
Helm provides built-in rollback functionality. Every application upgrade creates a new release revision, allowing administrators to restore a previous version with a single command if an update introduces problems.
Terraform does not provide native rollbacks. Reverting infrastructure typically requires restoring a previous configuration, modifying the code, or recovering an earlier state file before applying the changes again.
Dependency and Resource Management
Helm charts can declare dependencies on other charts, making it easier to deploy complete application stacks that include databases, monitoring tools, or ingress controllers. Helm manages Kubernetes resources as part of each application release.
Terraform manages dependencies between infrastructure resources automatically by analyzing references within the configuration. It creates resources in the correct order and builds dependency graphs that coordinate complex infrastructure deployments across multiple providers.
Ecosystem and Integrations
Helm has a large ecosystem of community-maintained charts for popular Kubernetes applications, along with support from major cloud providers and Kubernetes vendors. It integrates well with GitOps platforms, CI/CD pipelines, and Kubernetes-native tooling.
Terraform has one of the largest infrastructure automation ecosystems, offering thousands of providers and modules contributed by HashiCorp, cloud vendors, technology partners, and the open-source community. It integrates with CI/CD systems, policy management tools, secret managers, version control platforms, and virtually every major cloud platform.
Learning Curve
Helm is generally easier to learn for users who already understand Kubernetes concepts such as pods, services, deployments, and namespaces. Most users can begin deploying applications after learning the basics of charts and values files.
Terraform typically requires more time to master because it introduces infrastructure as code concepts, state management, provider configuration, modules, and dependency graphs. However, its syntax is relatively straightforward, and the tool scales well from small projects to enterprise environments.
Bookmark our Terraform Commands Cheat Sheet for quick access to the Terraform CLI commands you'll use most frequently.
Collaboration and Reusability
Helm charts allow teams to package applications into reusable templates that can be shared across projects and environments. This promotes consistent Kubernetes deployments while reducing duplicated configuration.
Terraform modules provide reusable building blocks for infrastructure. Organizations often create standardized modules for networking, compute, storage, security, and Kubernetes clusters to ensure consistent deployments across multiple environments.
Learn more about how Terraform and Kubernetes work together to provision infrastructure and manage containerized applications.
Security
Helm primarily relies on Kubernetes security features, including RBAC, namespaces, and secret management. Sensitive configuration is often handled through Kubernetes Secrets or external secret management solutions.
Terraform supports secure workflows through remote state backends, encryption, role-based access controls, policy enforcement, and integrations with secret management platforms. Protecting the Terraform state file is critical because it may contain sensitive infrastructure information.
Limitations
Helm is limited to Kubernetes environments and cannot provision or manage the infrastructure outside the cluster. Managing highly customized deployments with complex templates can also become difficult as charts grow in size.
Terraform is not optimized for application packaging or Kubernetes application lifecycle management. Although it can deploy Kubernetes resources, managing large numbers of application manifests is generally less efficient than using Kubernetes-native tools such as Helm.
Helm vs. Terraform: How to Choose?
Choosing between Helm and Terraform depends on what you need to automate. If your goal is to deploy, configure, and manage applications within an existing Kubernetes cluster, Helm is the better choice because it is purpose-built for Kubernetes application lifecycle management. If you need to provision infrastructure such as virtual machines, networks, storage, databases, or Kubernetes clusters across one or more cloud providers, Terraform is the more suitable solution.
Using Helm and Terraform Together
In many production environments, Helm and Terraform are used together because they address different layers of a cloud-native stack. Terraform provisions the underlying infrastructure, including virtual networks, storage, load balancers, and Kubernetes clusters, while Helm deploys and manages the applications running within those clusters.
This separation of responsibilities allows infrastructure and application lifecycles to be managed independently, resulting in more organized, scalable, and maintainable deployments. By combining both tools, organizations can automate everything from infrastructure provisioning to application updates using a consistent infrastructure-as-code workflow.
Choosing the Right Tool for Your Deployment Workflow
Helm and Terraform are complementary tools rather than direct competitors. Helm simplifies the deployment and management of Kubernetes applications, while Terraform automates infrastructure provisioning across cloud and on-premises environments. Understanding their differences helps you choose the right tool for your specific requirements, and using them together can provide a complete, automated workflow that spans infrastructure deployment, application delivery, and ongoing management.
