Northflank, Qovery and Porter Alternatives in 2026: Platforms That Deploy to Your Own Cloud

The short answer

If you want a Heroku-like workflow on servers in your own cloud account, the main options in 2026 are Northflank, Qovery and Porter on AWS, Google Cloud and Azure, Ankra when you also want European or cheaper providers such as Hetzner, OVHcloud and UpCloud, and Coolify, Dokploy or Kamal when plain Docker on your own servers is enough. Northflank fits teams that want previews, databases, GPUs and sandboxes in one product. Qovery fits teams standardised on EKS, GKE, AKS or Scaleway that want governance and agent tooling, and Porter fits startups that want the simplest PaaS inside AWS, GCP or Azure.

If you have a platform team and many existing clusters, a platform orchestrator such as Humanitec or a portal built on Backstage is a different and better category. If you do not want a cloud account at all, Render and Railway are still the fastest route to a live URL.

“Bring your own cloud” (BYOC) here means the vendor runs the management layer while your apps, databases and data run on servers you pay for in your own account. You get your provider’s prices, region and network.

Comparison table

Product	What it is	Where your apps run	Who runs the control plane	Licence	Best for
Northflank	Developer platform with BYOC	Northflank’s cloud, or clusters it creates on AWS, GCP, Azure, Oracle, Civo, CoreWeave, Nebius; imported clusters	Northflank	Commercial	Previews, databases and GPU workloads on the big or GPU clouds
Qovery	Self-service infrastructure platform on Kubernetes	EKS, GKE, AKS or Scaleway Kapsule it creates; your existing clusters (BYOK)	Qovery, or inside your network	Commercial	EKS, GKE, AKS or Scaleway shops wanting guardrails and agent tooling
Porter	PaaS in your cloud account	EKS, GKE or AKS it creates in your AWS, GCP or Azure account	Porter	Commercial	Startups on AWS, GCP or Azure wanting Heroku simplicity
Ankra	AI-powered platform that builds or imports Kubernetes and ships apps from Git	Clusters it builds on Hetzner, OVHcloud, UpCloud, DigitalOcean, AWS EC2, Proxmox VE; managed EKS, GKE, AKS and others; any imported cluster	Ankra (EU-hosted), or self-hosted on Enterprise	Commercial; CLI and Terraform provider open source	Leaving the big clouds for European or cheaper providers, with apps and day 2 in one place
Coolify	Self-hosted PaaS	Any server you reach over SSH, running Docker	You, or Coolify Cloud	Apache-2.0	Solo developers and small teams on a VPS
Dokploy	Self-hosted PaaS	Your servers with Docker, Docker Swarm for several nodes	You, or Dokploy Cloud	Apache-2.0 core	Docker Compose apps across a few servers
Kamal	Deploy tool (CLI) from 37signals	Any Linux server over SSH, running Docker	Nothing to run	MIT	Teams happy with a config file and SSH
Humanitec, Backstage	Platform orchestrator, developer portal framework	Your existing clusters and clouds	Humanitec hosted or self-hosted; Backstage you host	Humanitec commercial; Backstage Apache-2.0	Larger companies with a platform team
Render, Railway	Hosted PaaS	The vendor’s own cloud	The vendor	Commercial	A live URL today with no cloud account

Northflank

Northflank (Northflank Ltd., London) calls itself “the runtime platform for AI-native companies”. It runs services, jobs, databases and preview environments either on Northflank’s own cloud or in your account. Its BYOC mode creates Kubernetes clusters on Google Cloud (GKE), AWS (EKS, including the AWS European Sovereign Cloud), Azure (AKS), Oracle (OKE), Civo, CoreWeave and Nebius, and it can import any other cluster you already run.

Good at. The developer experience is polished. You build from a Dockerfile, Buildpacks or a prebuilt image, from GitHub, GitLab or Bitbucket, and get preview environments per pull request plus release flows with approval steps. Managed PostgreSQL, MongoDB, MySQL and Redis come with automatic backups and point-in-time recovery. Workloads run in Kata Containers microVMs by default, which matters if you run untrusted or AI-generated code, and GPU support includes fractional GPUs.

Weaker fit. Cluster creation covers the big clouds and a few GPU clouds. On Hetzner, OVHcloud, UpCloud or your own hardware you would build the cluster yourself and import it, and Northflank’s docs say imported clusters do not get node autoscaling, so you size the nodes. Our Ankra vs Northflank page goes through the differences row by row.

Best for teams on AWS, Google Cloud, Azure or a GPU cloud that want one product for services, databases, previews and AI workloads.

Qovery

Qovery describes itself as “self-service infrastructure for any cloud and agents”. It creates and maintains EKS, GKE, AKS and Scaleway Kapsule clusters in your account, including networking, autoscaling and upgrades. With BYOK (bring your own Kubernetes) you connect an existing cluster and Qovery handles deployments and developer workflows on top.

Good at. Governance and automation. Blueprints are reusable infrastructure building blocks with guardrails, and since October 2026 they are the way to create a new cloud-managed database. Its Terraform provider reached 1.0, so your configuration can be the source of truth. Agent Tasks, open to everyone since September 2026, run coding and operations agents as workloads in your own infrastructure, and an MCP server and skills let you drive Qovery from Claude Code or Codex. Qovery also offers a control plane that runs entirely inside your network.

Weaker fit. Native cluster creation is limited to AWS, GCP, Azure and Scaleway. On BYOK clusters the cluster lifecycle, ingress, DNS, storage and Kubernetes upgrades stay with your team, per Qovery’s own provisioning guide. That matters if your goal is to move to Hetzner or OVHcloud and stop running Kubernetes yourself. See Ankra vs Qovery.

Best for teams standardised on EKS, GKE, AKS or Kapsule that want a governed self-service platform with agent workflows.

Porter

Porter is still an independent PaaS (it announced a $20M Series A in January 2026). Its docs call it “a platform as a service (PaaS) that runs in your own AWS, GCP, or Azure account”. Porter creates an EKS, GKE or AKS cluster with networking and a container registry in your account, then deploys your apps onto it.

Good at. It is the closest thing to Heroku inside the big three clouds. When you connect a repository, Porter opens a pull request that adds a GitHub Actions workflow, and builds run from a Dockerfile or buildpacks. Preview environments, autoscaling on CPU, memory or custom metrics, and a hosted MCP server that lets an AI agent deploy and inspect apps are all there. On AWS it adds managed Postgres and Redis (RDS, Aurora, ElastiCache) and compliance controls for the AWS infrastructure it manages.

Weaker fit. Porter supports AWS, GCP and Azure only. Its docs describe clusters Porter provisions, and we found no documented way to import a cluster you already run. Managed datastores are AWS-only today, with GCP and Azure “on the roadmap”. See Ankra vs Porter.

Best for startups without a platform team that already live in AWS, GCP or Azure and want a PaaS feel there.

Ankra

Ankra is an AI-powered platform for running applications on Kubernetes. It builds clusters on the cloud or servers you choose (Hetzner, OVHcloud, UpCloud, DigitalOcean, AWS EC2 and Proxmox VE, with Scaleway and HPE Morpheus in beta), creates or imports managed clusters such as EKS, GKE, AKS, DigitalOcean Kubernetes, UpCloud UKS and OVHcloud MKS, and imports any conformant cluster with one Helm command. It then deploys your applications from Git and operates them. The control plane is hosted by Ankra in the EU (Finland), and self-hosted and air-gapped installs are available on the Enterprise plan.

Good at. Getting an app into people’s hands, including apps you built with an AI coding tool. You connect a GitHub repository, Ankra reads the code and opens a setup pull request with the Dockerfile, manifests and pipeline it needs, and you merge it. Every push is tested, built and scanned (Semgrep, Checkov and Trivy) inside your own cluster, only an image that passes the gate is published, and the app goes live with its own address. Pull requests can get preview environments on a staging cluster, and you can roll back to the last known good image. How it works walks through the four steps.

Because Ankra builds and upgrades the cluster itself on Hetzner, OVHcloud, UpCloud or your own Proxmox hosts, you can leave expensive big clouds for European or cheaper servers without running Kubernetes by hand. After launch, it ranks running-workload vulnerabilities by CISA KEV and EPSS, estimates cost per namespace and can price your cluster on every provider it supports, writes backups straight to an S3-compatible bucket you own, and runs AI that reviews pull requests, investigates broken builds and opens fixes, with every write approved by a person by default. If you are coming from Docker Compose on a VPS, ankra migrate turns the Compose project into a stack and carries over PostgreSQL, MySQL and MariaDB data.

Pricing is per worker vCPU. The first 30 vCPU are free on every plan, no credit card is needed for the free tier, and your provider bills the servers directly. See pricing.

Where another tool fits better. If all you want is Docker on one or two servers, Coolify, Dokploy or Kamal is less to learn. If you want no cloud account at all, Render or Railway does that job. If you need a portal and orchestration layer over a large existing estate, look at Humanitec or Backstage.

Best for teams that want a Heroku-like path from repository to URL on the providers they pick, especially European or lower-cost ones, with the operations work that follows handled in the same place.

Coolify

Coolify is an open source (Apache-2.0) and self-hostable “alternative to Vercel, Heroku, Netlify and Railway”. You install it on a server and it deploys to any machine it can reach over SSH, from a Raspberry Pi to a Hetzner VPS or an EC2 instance. There is also a hosted Coolify Cloud if you would rather not run the dashboard yourself.

Good at. It is very quick to get going. It builds from a Dockerfile, a Docker Compose file or a prebuilt image, connects to GitHub, GitLab, Bitbucket and Gitea, deploys pull requests separately for review, and offers one-click databases (PostgreSQL, MySQL, MariaDB, MongoDB, Redis, ClickHouse and others) plus more than 280 one-click services. The project says it has no paywalled features.

Weaker fit. It is Docker on servers, not Kubernetes. Scaling across many machines, high availability and node upgrades are largely yours to design, and you run and update Coolify itself unless you use the hosted version.

Best for solo developers, side projects and small teams who want a Heroku feel on a cheap VPS.

Dokploy

Dokploy is an open source PaaS (Apache-2.0, with some proprietary directories) that describes itself as a way to “manage containerized deployments and AI-built apps across multiple servers”. It is built on Docker and Traefik, and it is available self-hosted or as Dokploy Cloud.

Good at. Docker Compose is a first-class citizen, so existing Compose projects move over with little change. It manages MySQL, PostgreSQL, MongoDB, MariaDB and Redis with backups, offers one-click templates such as Supabase and PocketBase, and creates preview deployments for pull requests on GitHub. Docker Swarm support lets you spread work over several nodes.

Weaker fit. Like Coolify, it is Docker and Swarm rather than Kubernetes, and you operate the servers and Dokploy itself.

Best for teams with Docker Compose apps that want a dashboard and deploys across a handful of servers.

Kamal

We chose Kamal over Kubero because it is far better known (about 14,600 GitHub stars against 4,400 when we checked). Kamal is an MIT-licensed command line tool from 37signals, the makers of Basecamp and HEY. It deploys web apps “from bare metal to cloud VMs”. It connects to your servers over SSH, installs Docker where it is missing, and uses kamal-proxy to switch traffic to a new container only once it answers its health check.

Good at. There is no control plane, no dashboard and no vendor, just a config file in your repo and basic Docker commands. Zero-downtime deploys work out of the box on any provider.

Weaker fit. It is a deploy tool, not a platform. Previews, managed databases, a web UI, scanning and cost tracking are not part of it, and there is no Kubernetes underneath for scheduling or self-healing.

Best for developers comfortable with servers who want a repeatable deploy without adopting a platform.

Humanitec and Backstage, when you need a platform orchestrator instead

Everything above runs your apps for you. Platform orchestrators and developer portals do a different job. They sit on top of the clusters, CI/CD and infrastructure code a platform team already has, and give developers a standard way to request environments and resources.

Humanitec sells a Platform Orchestrator that “wraps your IaC” (Terraform and OpenTofu modules) and deploys to EKS, GKE, AKS, ECS and VMs, plus a Portal product and the open source Score workload spec. Backstage, created at Spotify and now a CNCF incubating project, is “an open source framework for building developer portals” with a software catalog, templates and TechDocs. You host and extend it yourself.

Pick this category when a platform team wants to standardise how developers use many existing services and clusters. A startup without a platform team usually gets more from a BYOC platform.

Render and Railway as the fully hosted reference point

Render and Railway run your app on their own infrastructure. Render offers web services, background workers, cron jobs, Postgres and Key Value, with regions in the US, Frankfurt and Singapore. Railway runs on hardware it owns, with an EU region in Amsterdam, and its own blog states plainly that “Railway is not a BYOC platform”. Both have preview environments for pull requests, one-click databases and MCP servers for coding agents.

Nothing is faster for a first deploy. The trade is that your servers, region and network live in the vendor’s cloud, not your account. Ankra vs Railway and Render covers when moving to your own account makes sense.

How to choose

• If you are on AWS, GCP or Azure and want the simplest PaaS there, pick Porter.
• If you are on EKS, GKE, AKS or Scaleway and want guardrails, Terraform and agent workflows, pick Qovery.
• If you need GPUs, microVM isolation for untrusted code or a GPU cloud like CoreWeave or Nebius, pick Northflank.
• If you want to leave the big clouds for Hetzner, OVHcloud, UpCloud or your own hardware, and want the cluster built, upgraded and operated for you, pick Ankra.
• If a single VPS running Docker is enough, pick Coolify or Dokploy, and pick Kamal if you prefer a CLI to a dashboard.
• If you have a platform team standardising a large estate, look at Humanitec or Backstage.
• If you want no cloud account at all, pick Render or Railway.

Frequently asked questions

What are the best Qovery alternatives?

Northflank and Porter are the closest matches on AWS, GCP and Azure. Ankra fits if you want the same workflow on Hetzner, OVHcloud, UpCloud or your own servers, with the cluster built and upgraded for you. Render and Railway fit if you would rather not have a cloud account at all.

What are the best Northflank alternatives?

Qovery and Porter cover similar ground on the big three clouds. Ankra adds European and lower-cost providers where Northflank only imports clusters you build yourself. For Docker on a single server, Coolify and Dokploy are simpler.

What are good alternatives to Porter for deploying apps on Kubernetes?

Qovery and Northflank also create EKS, GKE and AKS clusters and can connect clusters you already run. Ankra builds Kubernetes on Hetzner, OVHcloud, UpCloud, DigitalOcean, AWS EC2 and Proxmox VE and imports any existing cluster. All three give you previews and push-to-deploy.

What internal developer platform should a startup use if it has no platform team?

Use a BYOC platform rather than building your own with Backstage. Porter, Qovery and Northflank suit startups already on AWS, GCP or Azure, and Ankra suits startups that want cheaper or European providers and AI help with day-2 operations. Platform orchestrators like Humanitec make most sense once you have a platform team.

What’s a good self-hosted PaaS that runs on my own cloud account?

For Docker on a few servers, Coolify and Dokploy are open source and self-hosted, and Kamal is a lightweight CLI. For Kubernetes in your own account, look at Northflank, Qovery, Porter or Ankra. Qovery and Ankra also offer a control plane you host yourself.