Pulumi vs Terraform: An Honest Comparison After Using Both in Production (2026)

Pulumi vs Terraform is one of those debates that generates strong opinions but rarely settles on a nuanced answer. Having used both in production environments — Terraform at a company with 400+ modules, Pulumi at a startup building cloud infrastructure from scratch — I want to give you an honest take rather than a feature matrix.

The Fundamental Difference

Terraform uses HCL (HashiCorp Configuration Language) — a declarative, purpose-built language for infrastructure. You describe what you want, Terraform figures out how to get there.

Pulumi uses real programming languages — Python, TypeScript, Go, C#, Java. You write infrastructure code in the same language your team already uses.

This distinction sounds simple but has deep implications for everything else.

Developer Experience: Pulumi Wins for Engineers

If your team writes Python or TypeScript daily, Pulumi feels natural in a way Terraform never fully does.

Pulumi lets you use actual language features:

// Pulumi — TypeScript
import * as aws from "@pulumi/aws";
import * as eks from "@pulumi/eks";
 
const environments = ["dev", "staging", "production"];
const clusters: Record<string, eks.Cluster> = {};
 
// Loop over environments with real TypeScript
for (const env of environments) {
  clusters[env] = new eks.Cluster(`${env}-cluster`, {
    instanceType: env === "production" ? "m5.large" : "t3.medium",
    desiredCapacity: env === "production" ? 5 : 2,
    minSize: env === "production" ? 3 : 1,
    maxSize: env === "production" ? 10 : 4,
  });
}
 
// Export outputs
export const clusterEndpoints = Object.fromEntries(
  Object.entries(clusters).map(([env, cluster]) => [env, cluster.endpoint])
);

In Terraform, this requires count or for_each meta-arguments with certain constraints, or splitting things across modules. The pattern is achievable but less natural:

# Terraform
variable "environments" {
  default = {
    dev = {
      instance_type = "t3.medium"
      desired_capacity = 2
    }
    production = {
      instance_type = "m5.large"
      desired_capacity = 5
    }
  }
}
 
module "eks_cluster" {
  for_each = var.environments
  source   = "./modules/eks"
  
  name             = "${each.key}-cluster"
  instance_type    = each.value.instance_type
  desired_capacity = each.value.desired_capacity
}

For complex infrastructure with lots of conditional logic, abstractions, and shared utilities, Pulumi's real language support is a genuine advantage.

Ecosystem and Provider Coverage: Terraform Wins

This is where Terraform's 10-year head start matters.

Terraform has providers for essentially every cloud service and tool. AWS, GCP, Azure, Kubernetes, Datadog, PagerDuty, GitHub, Okta, Snowflake — if you need to manage it with IaC, there is almost certainly a mature, well-documented Terraform provider.

Pulumi also has broad coverage but with caveats. Many Pulumi providers are auto-generated from Terraform providers, which means they work but sometimes have rough edges. Community support, documentation examples, and Stack Overflow answers are significantly more available for Terraform.

If you are managing infrastructure that goes beyond major cloud providers — niche services, internal tooling, unusual integrations — Terraform's provider ecosystem has more options.

State Management

Both tools use state files to track what infrastructure exists. The mechanics are similar but the tooling differs.

Terraform's state management is mature and well-understood. Remote state in S3 + DynamoDB for locking is a pattern used by thousands of teams. The tooling for state manipulation (terraform state mv, terraform import, terraform state rm) is comprehensive.

Pulumi stores state in Pulumi Cloud by default (their SaaS offering) or in any S3-compatible backend. The default is easier to set up but introduces a dependency on Pulumi's service. Self-hosted state is fully supported but requires more configuration.

For teams that are uncomfortable with SaaS-hosted state (compliance, cost, control), Terraform's self-hosted state story is more straightforward.

Team Adoption and Hiring

This is often the deciding factor in practice.

Terraform is what most DevOps engineers know. If you hire a DevOps engineer who has worked at AWS shops or product companies in the past 5 years, they almost certainly know Terraform. Finding Terraform expertise in the market is easy.

Pulumi requires knowing both cloud infrastructure concepts AND a general-purpose programming language well enough to write production IaC. This is a higher bar, and Pulumi experience is still rare enough that you will be training most hires from scratch.

If team onboarding speed and hiring availability matter, Terraform's larger talent pool is a real advantage.

When Pulumi Makes More Sense

• Your team is primarily software engineers who find HCL unnatural
• You need complex abstractions, loops, or conditionals that HCL handles awkwardly
• You want to test your infrastructure code with your regular testing framework (pytest, Jest)
• You are building reusable infrastructure components that benefit from package management (npm, PyPI)
• Your infrastructure includes logic that genuinely requires a real programming language

When Terraform Makes More Sense

• Your team has existing Terraform expertise and modules
• You are hiring for the role and want the largest available talent pool
• Provider coverage for your specific tools matters
• Your organization prefers HCL's declarative style and explicit resource definitions
• You use Terraform Cloud or enterprise features (Sentinel policies, SSO, audit logging)
• You are in a regulated environment where SaaS-hosted state is a concern

The Honest Verdict

Neither tool is clearly superior for all teams. The "Pulumi is just better because it uses real languages" argument ignores that HCL's declarative nature is genuinely useful for infrastructure — you do not always want the full expressiveness of Python, because with that comes the complexity and foot-guns of Python.

The "Terraform is the proven choice" argument ignores that for engineering-heavy teams, Pulumi's approach to infrastructure as software — with real testing, real package management, and real abstractions — is genuinely more productive.

My actual recommendation: if your team is already Terraform-proficient and things are working reasonably well, the migration cost to Pulumi is not worth it. If you are starting fresh and your team is software-engineer-heavy, give Pulumi a serious evaluation — the developer experience is meaningfully better for complex infrastructure.

One thing I would not do: migrate from Terraform to Pulumi just because Pulumi feels more modern. The disruption of changing your entire IaC toolchain is significant, and the productivity gains need to be real and specific to your situation.

Want to go deeper? Read our OpenTofu complete guide (the open-source Terraform fork) and Terraform vs CDK vs CloudFormation comparison.