Pick Terraform (or its open-source fork OpenTofu) when you want the industry default for infrastructure as code: a declarative language that platform, security and SRE people can all read, the largest library of community modules, and the easiest hiring. Pick Pulumi when your infrastructure is written by application engineers who already live in TypeScript, Python, Go or C#, and you want loops, types, unit tests and shared libraries from a real programming language. Both drive the same cloud APIs, so the decision is about who writes and reviews the code, not about what you can provision.
Terraform files declare resources and their arguments. HCL has variables, modules, for_each, count, conditionals and functions, but it is deliberately limited. A reviewer can read a pull request and know, without running it, roughly what will exist afterward. Security and compliance people who are not software engineers can still review it. That constraint is why Terraform became the shared language between platform teams and everyone else.
Pulumi programs are ordinary code. A Pulumi TypeScript project is an npm package; a Python project is a virtualenv with a __main__.py. You build a desired-state graph by instantiating resource objects, and the Pulumi engine diffs it against state, just like Terraform. Because it is real code, you get classes, inheritance, package managers, IDE autocomplete on every resource property, and the ability to compute infrastructure from data (one VPC per entry in a config file, one queue per microservice in a service registry). The risk is the same freedom: clever abstractions that only their author understands, network calls inside programs, and reviews that require reading code paths rather than declarations.
The languages page in the Pulumi documentation lists TypeScript and JavaScript (Node.js), Python, Go, .NET, Java, Pulumi YAML and HCL. HCL support matters: Pulumi now runs existing .tf files on its own engine, which lowers the cost of trying it.
In August 2023 HashiCorp moved its products from MPL 2.0 to the Business Source License. You can still use Terraform freely inside your company, including commercially; the restriction targets vendors offering a competitive product built on it. In response, the community forked the last MPL release into OpenTofu, a drop-in replacement under Linux Foundation stewardship. OpenTofu has shipped features of its own, such as client-side state encryption (since 1.7), and its latest release is 1.13.2.
IBM completed its acquisition of HashiCorp on February 27, 2025, at an enterprise value of $6.4 billion. In December 2025 HashiCorp also archived CDK for Terraform, its attempt at a code-first layer on top of Terraform, citing a lack of product-market fit (see the terraform-cdk repository). Teams that adopted CDKTF to write infrastructure in TypeScript or Python now choose between converting back to HCL and moving to Pulumi.
For most enterprises the license question is about policy, not legal exposure: some legal teams prefer OSI-approved licenses, and some vendors bundle OpenTofu instead. Pulumi's CLI and SDKs are Apache 2.0 on GitHub.
Both tools spend most of their time waiting on cloud provider APIs, so raw engine speed rarely matters. Concurrency does. Terraform walks its dependency graph with a default parallelism of 10 operations; pulumi up defaults to 16 parallel resource operations. Both can be tuned up until you hit provider rate limits.
What slows teams down is state size. A single Terraform root module with thousands of resources makes every plan refresh everything, and one locked state file blocks every engineer. Pulumi stacks have the same problem when one program owns too much. The fix is identical: split state by blast radius (network, shared data stores, each service), pass values between them with remote state or stack references, and keep each plan under a few minutes.
Pulumi has the edge for engineers who want fast local feedback. Type checking catches a misspelled property before any API call, and unit tests with mocked resources run in milliseconds in Jest, pytest or go test. Terraform has closed some of this gap with terraform test and validation blocks, but most HCL errors still surface at plan time.
The CLIs are free. You pay for the managed service that stores state, runs plans and enforces policy, or you self-host state in object storage and run plans in CI.
Worked example: an estate of 5,000 managed resources on HCP Terraform Standard costs about 5,000 × $0.47 = $2,350 a month at list price. Per-resource billing punishes estates full of tiny objects (IAM bindings, DNS records, security group rules), so count before you commit. Self-managed state in S3 or GCS with plans in GitHub Actions costs almost nothing in licenses, but you build locking, drift detection, policy checks and audit trails yourself. The engineers who maintain that pipeline are the larger cost either way.
Terraform is one of the most common skills in cloud engineering. In the 2025 Stack Overflow Developer Survey, 17.8% of all respondents reported using Terraform; Pulumi did not appear in the survey's cloud development list. In practice, nearly every senior DevOps, SRE or platform engineer has written HCL, and many job descriptions treat it as a baseline.
Pulumi talent is thinner but easier to grow. A strong TypeScript or Python engineer who understands cloud networking and IAM can be productive in Pulumi within days, because the hard part is the cloud, not the tool. The reverse also holds: what makes an infrastructure engineer valuable is knowing why a VPC peering plan fails or why an IAM policy is too broad, and that knowledge transfers between tools. Screen for the cloud depth first. Current pay bands are on our DevOps engineer rates page.
Mixed estates are common and workable. A platform team can keep the network and shared services in Terraform while product teams use Pulumi for their own stacks, reading Terraform outputs through state references. Set a rule for which tool owns which layer, and never let both manage the same resource.
Ryz Labs platform engineers write Terraform, OpenTofu and Pulumi every day. Only the top 1% of the tens of thousands of engineers we interview make it, and they work on your team on US business hours, with same-day code review. You can hire Terraform engineers, DevOps engineers or site reliability engineers one at a time, or bring in a dedicated team through our DevOps consulting practice to split state, add policy checks and run a tool migration. When the infrastructure hosts an AI system, our AI pod teams build that system in your cloud and repos and ship it to production.
Typical cost is $7,000 to $15,000 per engineer per month: mid-level engineers run $7,000 to $10,000, seniors $10,000 to $15,000, and leads are quoted per team. A migration's cost is team size times duration times monthly rate. If you only want a one-time tool recommendation with no engineers who build, a short advisory engagement is a better fit than a team.
Neither is better in general. Pulumi is the stronger fit when developers own infrastructure and want a general-purpose language with types and unit tests. Terraform is the stronger fit when many teams must review changes in a common declarative format and you want the largest hiring pool and module ecosystem.
Not by the OSI definition. Since August 2023 Terraform has been released under the Business Source License 1.1, which allows internal commercial use but restricts competing offerings. OpenTofu, a Linux Foundation project forked from the last MPL release, is the open-source alternative.
Yes. Pulumi bridges many Terraform providers, can add Terraform modules as local packages, can read outputs from Terraform state and can run HCL on its own engine. That makes gradual adoption alongside an existing Terraform estate practical.
HCP Terraform is free up to 500 managed resources, then starts at $0.10 per resource per month on Essentials, $0.47 on Standard and $0.99 on Premium. Pulumi Cloud has a Free edition, Essentials at $40 a month and Pro at $400 a month with included resources, then per-resource overage. Count your resources before comparing.
Move if your organization needs an OSI-approved license, wants client-side state encryption, or does not use HCP Terraform features. Stay on Terraform if you rely on HCP Terraform or Terraform Enterprise workflows. For most codebases written for Terraform 1.5 or earlier, switching is low effort, but test plans in CI first.
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