Comparison
SeaGit vs Railway
A usage-based PaaS that deploys apps and databases on Railway-managed infrastructure. Here is how SeaGit — a Kubernetes DevOps platform that deploys into your own cloud account — compares.
Is SeaGit a good Railway alternative?
SeaGit is a Railway alternative for teams that want to own their infrastructure. Railway offers a slick, usage-based developer experience for deploying apps and databases, but everything runs on Railway-managed infrastructure — you do not get your own cloud account or Kubernetes control. SeaGit deploys container, Git or Helm applications onto managed Kubernetes clusters in your own AWS account, so your workloads and data live in infrastructure you own with no platform markup on compute. You keep a Git-push workflow and preview-style ephemeral deployments, and gain node-group control, a one-click add-on catalogue (Argo CD, Argo CI, Tekton, Prometheus, MinIO, EBS), multi-cluster deployments and scheduled automation rules. SeaGit has a genuine free plan (one cluster, one environment, 100 deployments/month) and you pay your own cloud provider directly for compute, rather than usage billed by the platform.
SeaGit vs Railway: feature comparison
Verified against Railway's public documentation and pricing, July 2026. Check their site for changes since.
| Capability | SeaGit | Railway |
|---|---|---|
| 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. | ||
| 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. | ||
| 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. | Postgres (hosted) | |
| 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. | Redis (hosted) | |
| 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. | Community template | |
| 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 logs & metrics | |
| 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. | Community, single-user | |
| Git push to deploy Connect GitHub and deploy automatically on every push. | ||
| 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. | PR environments | |
| GitOps continuous delivery (Argo CD) One-click Argo CD add-on for Git-driven continuous delivery straight from your repositories. | ||
| 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. | ||
| Getting started & cost | ||
| Free plan A genuinely free tier for evaluation with one cluster, one environment and 100 deployments per month. | Trial credits | |
| You pay the cloud provider directly SeaGit never marks up your compute — you own the cloud account and its bill. Railway bills usage on its own infrastructure. | ||
Recently added to SeaGit
Newer SeaGit capabilities. Railway'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 Railway: 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. Railway prices by usage (compute/memory) on Railway-managed infrastructure with trial credits rather than a permanent free tier; you cannot bring your own cloud account.
Comparison reflects publicly documented details as of July 2026; check Railway pricing for the latest figures.
SeaGit vs Railway — FAQ
What is Railway hosting?
- Railway is a hosting platform that deploys apps and databases from a Git repository or a container image onto infrastructure Railway runs, billed by usage. You do not choose or own the cloud account underneath. SeaGit takes the other route: it deploys to managed Kubernetes in your own AWS account.
Is there a self-hosted Railway alternative?
- SeaGit is a Railway alternative that runs in your own AWS account. Instead of Railway-managed infrastructure, your apps run on managed Kubernetes you own, with a similar Git-push experience.
How is SeaGit different from Railway?
- Railway runs everything on its own infrastructure with usage-based pricing. SeaGit provisions managed Kubernetes in your own cloud, so you own the infrastructure, avoid platform markup and get cluster-level control and add-ons.
Does SeaGit have a free plan like Railway?
- Yes. SeaGit has a genuine free plan (one cluster, one environment, 100 deployments per month). Railway uses trial credits rather than a permanent free tier; with SeaGit you pay only your own cloud provider for compute.
Can I deploy databases and backends?
- Yes. SeaGit deploys container, Git or Helm applications on Kubernetes, including stateful workloads backed by persistent EBS storage.