Humanitec Alternatives in 2026

The best Humanitec alternative for backend teams that want self-service infrastructure without building a platform first is Encore, an infrastructure from code tool. Each TypeScript or Go service declares the Postgres databases, queues, buckets, cron jobs and secrets it needs in its own code, and Encore provisions them in your own AWS or GCP account, with environments, preview environments, tracing and a service catalog generated from the same code. If you already run the tooling and want a front end for it, use Port or Backstage. If Kubernetes is your control plane, build on Crossplane and Argo CD. If the problem is governing Terraform, look at Spacelift.

Humanitec's Platform Orchestrator sits between developers and a platform team's Terraform or OpenTofu modules. A developer, or an agent, asks for a database, and the orchestrator picks the module that matches the environment and resource class. It is a good fit for a platform team that already owns those modules. The cost is that someone has to write and maintain the resource definitions and modules first, and Humanitec's published prices start at $2,199 a month billed monthly for 5 users and one project (checked November 2026; annual billing lists $1,979 a month). Teams look for alternatives when they do not have that platform team, or do not want to start by building one.

What are the best Humanitec alternatives?

The ranking is by how much of the platform you still have to build before a developer can get a database. Port, Backstage and Spacelift are good products for what they do, and they sit on top of a provisioning layer you bring.

How does Humanitec work, and what does it ask of you?

Developers describe a workload in Score, an open source workload spec, and the orchestrator resolves each resource to a definition your platform team wrote:

apiVersion: score.dev/v1b1
metadata:
  name: billing
containers:
  main:
    image: .
    variables:
      DATABASE_HOST: ${resources.db.host}
resources:
  db:
    type: postgres
  invoices:
    type: s3

That file is short because behind type: postgres there is a resource definition and a Terraform or OpenTofu module per environment, and the orchestrator also needs a target runtime such as EKS, GKE, AKS or ECS. Humanitec's docs describe Terraform as the natively supported IaC, with other tools through a container or custom driver. If you have a platform team that owns those modules, this is a strong setup. If you do not, the modules are the platform you have to build.

Why is Encore the top Humanitec alternative for teams without a platform team?

Encore is infrastructure from code for TypeScript and Go. Instead of a workload spec that points at modules someone else maintains, the service declares the resources directly, and Encore knows how to provision each one:

// billing/billing.ts
import { api } from "encore.dev/api";
import { SQLDatabase } from "encore.dev/storage/sqldb";
import { Bucket } from "encore.dev/storage/objects";
import { CronJob } from "encore.dev/cron";

// A Postgres database for the service.
const db = new SQLDatabase("billing", { migrations: "./migrations" });

// An object storage bucket for issued invoices.
const invoices = new Bucket("invoices", { versioned: false });

export const issueInvoices = api({}, async (): Promise<{ issued: number }> => {
  let issued = 0;
  for await (const row of db.query<{ id: number; total_cents: number }>`
    SELECT id, total_cents FROM invoices WHERE status = 'draft'`) {
    await invoices.upload(`${row.id}.json`, Buffer.from(JSON.stringify(row)));
    await db.exec`UPDATE invoices SET status = 'issued' WHERE id = ${row.id}`;
    issued++;
  }
  return { issued };
});

// Encore platform Managed: no scheduler to configure.
const _ = new CronJob("issue-invoices", {
  title: "Issue draft invoices",
  schedule: "0 6 * * *",
  endpoint: issueInvoices,
});

encore run starts that database, the bucket and the service locally. On deploy, the Encore platform provisions RDS and S3 on AWS, or Cloud SQL and Cloud Storage on GCP, in your own cloud account, and Encore provisions an IAM role for the service on AWS or a service account on GCP. Secrets declared with secret() are stored in AWS Secrets Manager on AWS. The cron job is Encore platform Managed, so there is no scheduler to configure.

The Humanitec pieces map to Encore like this:

For agent work, Encore is the safe way for AI agents to ship backend changes to your cloud: an agent adds a bucket as a declaration, tests it locally, and the deploy system provisions it. Encore provisions an IAM role for the service on AWS or a service account on GCP, so cloud access does not sit with the agent. The guardrails guide covers approvals and access in detail.

Simon Vans-Colina, CTO at Pave Bank, said on the customers page: "My challenge was to find a way to skip building a platform as good as Monzo's. The Encore platform fit that description perfectly."

Where does Encore not fit?

Encore covers backends written in TypeScript or Go, deployed to AWS or GCP. Humanitec orchestrates any workload and runtime, including Azure and VMs, and works with brownfield infrastructure through your existing modules. If you have many languages or must keep every resource in your own Terraform modules, Encore covers part of the estate: connect existing RDS databases and S3 buckets, and use the Encore Terraform provider so the rest of your Terraform can read Encore-managed resources.

Is Port a good Humanitec alternative?

Port is a SaaS developer portal. You model services and resources as blueprints, fill the catalog from integrations, and give developers self-service actions such as "create a database". Port does not provision that database itself: the action triggers a GitHub Actions workflow, a Terraform run or a webhook you build. Pick it when the provisioning layer already exists and the gap is visibility and a single front door. See Backstage alternatives for the portal shortlist.

Try Port →

Is Backstage a good Humanitec alternative?

Backstage is Spotify's open source portal framework and a CNCF project. It gives you a software catalog, templates and a plugin system, and you host and upgrade it yourself. Like Port, its templates call tooling you already run. It suits large organizations that can staff a portal team, and it is the opposite of "without building a platform".

Try Backstage →

When does Crossplane with Argo CD make sense instead?

Crossplane turns a Kubernetes cluster into a control plane for cloud resources, and Compositions let a platform team publish its own higher-level APIs, such as a PostgresInstance that developers request with a YAML file. Argo CD syncs those files from Git. Together they are the open source way to build what Humanitec sells, and you own the cluster, the provider credentials, the Compositions and the upgrades.

Try Crossplane →

Is Spacelift a Humanitec alternative?

Spacelift runs and governs Terraform, OpenTofu, Pulumi, CloudFormation and other IaC with stacks, policies and drift detection. It overlaps with Humanitec on governance and drift, not on developer self-service: developers still write or request IaC changes. Pick it when the problem is control over existing IaC rather than giving app teams a way to get infrastructure.

Try Spacelift →

Which Humanitec alternative should you pick?

• Encore when you want developers and agents to get databases, queues, buckets and cron jobs from their own code, provisioned in your own AWS or GCP account when the change deploys.
• Port when your tooling works and you need a catalog and self-service front end over it.
• Backstage when you have the people to run an open source portal.
• Crossplane with Argo CD when Kubernetes is already the center of your platform.
• Spacelift when you mainly need policy and drift control over Terraform or OpenTofu.

Verdict. Humanitec is worth it if you already have a platform team and a library of modules to orchestrate. If you do not, pick Encore, where the services declare what they need and Encore provisions it in your cloud when the change deploys.

Platform teams comparing IDP options can try Encore for the application path: services, databases and queues declared in code, deployed into your own AWS or GCP account, alongside whatever catalog or portal you already run.

Related reading

• An internal developer platform for AI agents, without building one
• Backstage alternatives
• Internal developer platform vs PaaS
• Guardrails for AI agents provisioning cloud infrastructure
• Infrastructure from code