Comparison
SeaGit vs Porter
A Kubernetes-powered PaaS that runs in your own cloud account. Here is how SeaGit — a Kubernetes DevOps platform that deploys into your own cloud account — compares.
Is SeaGit a good Porter alternative?
Yes — SeaGit is a strong Porter alternative. Both are Kubernetes-powered platforms that deploy into your own AWS account and manage clusters rather than reselling compute. SeaGit adds a broad one-click add-on catalogue (Argo CD for GitOps, Argo CI and Tekton for in-cluster builds, Prometheus, the metrics server, MinIO object storage, EBS persistent volumes and a descheduler), multi-cluster deployments across regions and accounts, ephemeral preview deployments on isolated URLs, and automation rules that scale or power clusters on a schedule. SeaGit has a free plan, and both let you pay your cloud provider directly for the infrastructure. If you want a Heroku-like developer experience but full ownership of the Kubernetes layer — node groups, add-ons and upgrades — SeaGit covers the same ground as Porter with a wider managed add-on set and scheduled cluster automation.
SeaGit vs Porter: feature comparison
Verified against Porter's public documentation and pricing, July 2026; prices checked October 2026. Check their site for changes since.
| Capability | SeaGit | Porter |
|---|---|---|
| Where your apps run | ||
| Runs in your own cloud account (BYOC) Clusters and workloads are provisioned into your own AWS account, so you own the infrastructure and pay the cloud bill directly with no infrastructure markup. | ||
| Fully-managed Kubernetes clusters Provisions and manages real Kubernetes clusters (EKS and more) — not just an app runtime — including node groups, add-ons and upgrades. | ||
| Multi-cloud (AWS, Azure, GCP) Deploy across more than one cloud provider from a single control plane. SeaGit provisions AWS (Amazon EKS) today; Azure and GCP are on the roadmap. | AWS today | |
| Multi-cluster deployments Deploy a single environment across several clusters (including across regions and accounts) for availability and reach. | Limited | |
| Ship & automate | ||
| Build your own stack templates Compose Helm charts and Docker images into a private, reusable template with a typed input form, generated secrets, an install order and connection outputs. Paid plans. | porter.yaml (in development) | |
| RAG stack template A complete retrieval stack from one template: a Qdrant vector database, an answering API on Amazon Bedrock with citations, a web UI and document sync. Paid plans. | Build it yourself | |
| Database stack template PostgreSQL or MySQL with nightly backups to a new or existing S3 bucket, with optional KMS encryption. Paid plans. | RDS / Aurora datastore | |
| Redis stack template Valkey or Redis in your own AWS account: reachable from the cluster, your VPC or the internet over TLS with an IP allowlist, with nightly backups to your S3 bucket. Paid plans. | ElastiCache datastore | |
| LLM gateway template (LiteLLM) An OpenAI-compatible LiteLLM gateway for Amazon Bedrock in your own AWS account, with per-team keys and budgets, an input guardrail and every call logged to your S3 bucket. Paid plans. | Build it yourself | |
| Observability Cluster metrics through the Prometheus and metrics-server add-ons, plus an LLM usage dashboard for cost, blocked requests and traces with the gateway stack. | Built-in metrics, 14 days | |
| Notebooks stack (JupyterHub) A multi-user JupyterHub in your own AWS account: SSO, GitHub or password sign-in, persistent home folders, idle shutdown and keyless S3 access. Paid plans. | Build it yourself | |
| Ephemeral / preview deployments Every push can spin up an isolated, real-infrastructure deployment on its own URL (a dark release) without touching the main deployment. | ||
| GitOps continuous delivery (Argo CD) One-click Argo CD add-on for Git-driven continuous delivery straight from your repositories. | Via Git | |
| In-cluster CI (build images in your cluster) Build container images and run CI pipelines inside your own cluster with Argo CI or Tekton — not on shared vendor build servers. | ||
| Automation rules (schedule scale / power) Automate cluster actions on a schedule or trigger — for example scale, power on and power off to cut cost. | ||
| One-click add-on catalogue Enable Prometheus, MinIO, EBS, Tekton, a descheduler and more on any cluster in one click. | Partial | |
| Getting started & cost | ||
| Free plan A genuinely free tier for evaluation with one cluster, one environment and 100 deployments per month. | None listed | |
| Entry paid plan (list price) The published monthly price of the first paid plan, before any cloud or compute charges. | $89.99/seat/mo | $13/vCPU + $6/GB RAM per mo |
| Compute billed by Who sends the bill for the CPU and memory your apps use. "At cost" means the cloud provider bills you directly at its own prices. | AWS, at cost | Your cloud, at cost |
| You pay the cloud provider directly The platform never marks up your underlying compute — you own the cloud account and the bill. | ||
Recently added to SeaGit
Newer SeaGit capabilities. Porter's equivalents have not been checked yet, so they are listed here and not scored in the table above.
- Availability in one setting. Replicas, scheduling priority, spread across zones and nodes, and a disruption budget are set together per application.
- Safer Kubernetes upgrades. A version-skew guard blocks unsupported upgrade steps, and a failed node roll can be re-run.
- Build node groups. Node-group presets for build pipelines keep in-cluster image builds off the nodes serving your apps.
SeaGit vs Porter: pricing & cost
SeaGit starts free — $0/month for one cluster, one environment and 100 deployments — and the Pro plan is $89.99/seat per month (save 11% billed annually). Because SeaGit is bring-your-own-cloud, you pay your cloud provider directly for compute with no infrastructure markup. Porter meters its fee on the vCPU and RAM your apps request; you also pay your own cloud provider for the underlying infrastructure.
Porter's Standard plan is metered on the resources your apps request: $13 per vCPU and $6 per GB of RAM per month, on top of your cloud provider's bill. Apps requesting 8 vCPU and 16 GB of RAM come to $200/month in Porter fees. SeaGit's fee is per seat — $0 on Free, $89.99/seat per month on Pro — and does not grow with the size of your workloads. Figures are published list prices as of October 2026; check Porter pricing for the latest figures.
SeaGit vs Porter — FAQ
Is there a free Porter alternative?
- Yes. SeaGit has a free plan with one cluster, one environment and 100 deployments per month, and deploys into your own cloud account, so your cloud provider bills compute directly. Porter meters a platform fee per vCPU and GB of RAM on top of the cloud bill (October 2026).
How does SeaGit compare to Porter?
- Both run managed Kubernetes in your own cloud. SeaGit adds a wider one-click add-on catalogue (Prometheus, MinIO, EBS, Tekton, descheduler), multi-cluster deployments and scheduled automation rules on top of the same Heroku-like deploy experience.
Can SeaGit manage my EKS clusters like Porter?
- Yes. SeaGit provisions and manages Kubernetes clusters — including EKS — with custom node groups, add-ons and upgrades, all from your own AWS account.
Does SeaGit build images in my cluster?
- Yes. With Argo CI or Tekton, SeaGit builds container images inside your own cluster rather than on shared vendor build infrastructure.