Arxentra and Railway are both modern cloud platforms built for developers who deploy from Git. Railway popularized the "connect repo and deploy" workflow and has strong adoption among indie developers and small teams. Arxentra extends this model with Kubernetes-native infrastructure, managed databases, and enterprise team features. For solo developers, Railway is simpler and cheaper for small projects. For teams of 3 or more, Arxentra provides better collaboration tools and more predictable pricing at scale.
This comparison covers the features that matter most for developer teams: deployment configuration, environment management, team workflows, scaling, and cost.
Git deployment configuration
Q: How do both platforms handle Git-based deployment?
Both platforms support connecting a GitHub repository and auto-deploying on push. The key differences are in configuration and flexibility.
Railway uses a `railway.toml` file or Nixpacks for automatic build detection. Nixpacks analyzes your codebase and generates a build plan without any configuration file. For most frameworks, this works on the first try. When customization is needed, `railway.toml` provides build commands, start commands, and health check configuration.
Arxentra supports three deployment methods: auto-detection (similar to Nixpacks), Dockerfile, or a `arxentra.yaml` configuration file. The configuration file is more expressive than Railway's, supporting multi-service deployments, database provisioning, and domain configuration in a single file.
<h1>arxentra.yaml example</h1>
services:
web:
build: ./Dockerfile
port: 3000
env:
NODE_ENV: production
scale:
min: 2
max: 10
health:
path: /health
interval: 30s
worker:
build: ./Dockerfile.worker
command: npm run worker
databases:
main:
type: postgresql
plan: starter
domains:
- app.example.com
<h1>railway.toml example</h1>
[build]
builder = "DOCKERFILE"
dockerfilePath = "./Dockerfile"
[deploy]
startCommand = "npm start"
healthcheckPath = "/health"
healthcheckTimeout = 300
restartPolicyType = "ON_FAILURE"
restartPolicyMaxRetries = 10
| Feature | Arxentra | Railway |
| Config file | arxentra.yaml | railway.toml |
| Auto-detection | Yes | Nixpacks |
| Dockerfile support | Yes | Yes |
| Multi-service in config | Yes | No (separate services) |
| Database provisioning in config | Yes | No (via dashboard/CLI) |
| Monorepo support | Root dir setting | Root dir + watch paths |
| Build caching | Docker layer cache | Nixpacks cache |
| Build timeout | 30 min | 20 min |
Environment variable management
Q: How does each platform handle environment variables?
Railway has one of the best environment variable systems in the industry. Variables are scoped per service and per environment (production, staging, development). Railway supports variable references between services: `${{database.DATABASE_URL}}` automatically injects the connection string from a linked database. Variables can be shared across services using shared variables.
Arxentra manages environment variables per service with environment-level overrides. Variables are encrypted at rest and in transit. Database connection strings are automatically injected when you link a database to a service. Variable groups allow sharing common variables across multiple services.
| Feature | Arxentra | Railway |
| Per-service variables | Yes | Yes |
| Environment overrides | Production, staging, dev | Production, staging, dev |
| Variable references | `${db.url}` | `${{service.VAR}}` |
| Auto-inject DB URLs | Yes (on link) | Yes (on link) |
| Shared variables | Variable groups | Shared variables |
| Secret masking in UI | Yes | Yes |
| CLI env management | `arx env set/get/list` | `railway variables set/get` |
| .env file import | `arx env import .env` | `railway variables import` |
| Encryption at rest | AES-256 | AES-256 |
| Audit log | Yes | Enterprise only |
Both platforms handle environment variables well. Railway's variable reference syntax (`${{service.VAR}}`) is particularly elegant for linking services together. Arxentra's audit log for variable changes is available on all paid plans, while Railway restricts this to Enterprise.
Team collaboration features
Q: Which platform is better for development teams?
Arxentra was designed for teams from the start. It includes role-based access control (RBAC) with predefined roles (Owner, Admin, Developer, Viewer), project-level permissions, deployment approval workflows, and an audit log of all actions. Teams can organize services into projects with separate billing and access controls.
Railway added team features more recently. The Team plan ($20/seat/month) includes member management, project-based access, and usage-based billing per team. Railway does not currently offer deployment approval workflows or granular RBAC beyond member/admin roles.
| Feature | Arxentra | Railway |
| Team plan price | $15/seat/month | $20/seat/month |
| Roles | Owner, Admin, Developer, Viewer | Admin, Member |
| Project-level access | Yes | Yes |
| Deployment approvals | Yes | No |
| Audit log | All paid plans | Enterprise only |
| SSO/SAML | Enterprise | Enterprise |
| Usage alerts | Per project | Per team |
| Billing separation | Per project | Per team |
| Invite via | Email + link | Email + link |
For teams of 5 or more, Arxentra's team features save $25/month in seat costs alone ($75 vs $100 for 5 seats). The deployment approval workflows and granular RBAC are significant advantages for teams with junior developers or production deployment gates.
Scaling capabilities
Q: How does each platform handle scaling?
Railway scales vertically by adjusting the vCPU and memory allocated to a service. You can configure scaling limits, and Railway will auto-scale within those bounds based on usage. Railway charges per vCPU-minute and per GB-minute, so costs scale linearly with resource usage.
Arxentra supports both vertical and horizontal scaling. Vertical scaling adjusts the resources per container. Horizontal scaling adds or removes container replicas based on CPU, memory, or custom metrics. Load balancing between replicas is automatic. Arxentra charges flat monthly rates per container size, so costs are predictable.
| Scaling feature | Arxentra | Railway |
| Vertical scaling | Manual | Auto (within limits) |
| Horizontal scaling | Auto (1-50 replicas) | Manual (via service copies) |
| Auto-scale metrics | CPU, memory, requests | CPU, memory |
| Scale-to-zero | Not supported | Supported |
| Min/max replicas | Configurable | N/A (vertical only) |
| Load balancing | Automatic | N/A (single instance) |
| Pricing model | Flat per container | Per vCPU-minute + GB-minute |
Railway's scale-to-zero feature is valuable for development environments and hobby projects -- you only pay when the service is actively handling requests. For production workloads, scale-to-zero introduces cold starts of 1-5 seconds, which may not be acceptable.
Arxentra's horizontal scaling with automatic load balancing is essential for production applications that need high availability and consistent response times. Running 3+ replicas across availability zones ensures zero-downtime deployments and resilience to individual container failures.
Pricing comparison
Q: How does pricing compare for real workloads?
Railway uses usage-based pricing: $0.000231/vCPU-minute and $0.000231/GB-minute after a $5/month credit (Hobby) or included usage (Pro at $20/month). This means costs fluctuate with actual resource consumption.
Arxentra uses flat monthly pricing per container size. A 1 vCPU / 1 GB container is $5/month regardless of utilization.
| Scenario | Arxentra | Railway (Pro) |
| Idle project (scale-to-zero) | $5/mo | $0-1/mo |
| Small app (1 vCPU, 1 GB, 50% utilization) | $5/mo | ~$10/mo |
| Medium app (2 vCPU, 4 GB, 80% utilization) | $20/mo | ~$35/mo |
| API + worker + DB | $32/mo | ~$55/mo |
| Team of 5, 3 projects | $137/mo | ~$230/mo |
For always-on production workloads, Arxentra is 35-45% cheaper because flat pricing rewards high utilization. Railway's usage-based model is cheaper only when services are idle most of the time (development environments, staging, side projects).
When to choose each platform
Choose Arxentra if:
Choose Railway if:
Frequently asked questions
Q: Can I migrate from Railway to Arxentra?
Yes. Both platforms deploy from Git repositories, so migration is primarily about re-connecting your repository and transferring environment variables. For databases, use pg_dump/pg_restore for PostgreSQL or mongodump/mongorestore for MongoDB. The entire migration typically takes 1-2 hours.
Q: Does Railway support cron jobs?
Yes. Railway supports cron jobs through its cron service feature. You configure a schedule using standard cron syntax. Arxentra also supports cron jobs as scheduled tasks within your service configuration.
Q: Which platform has better logging?
Both platforms provide real-time log streaming. Railway's logs are searchable and filterable by service. Arxentra's logs support full-text search, structured JSON parsing, and log retention for 30 days on all paid plans. Railway retains logs for 7 days on Pro.
Q: Do both platforms support private networking?
Yes. Both platforms provide internal networking between services. On Railway, services in the same project can communicate via internal DNS names. On Arxentra, services in the same project share a Kubernetes network namespace with service discovery via DNS.
Q: What happens if I exceed Railway's usage limits?
Railway charges for additional usage beyond the Pro plan's included amount. There are no hard limits -- usage is billed at the standard per-minute rate. Arxentra's flat pricing means no overage charges; you upgrade to a larger container size when you need more resources.
For a broader comparison of cloud platforms, see Best AWS Alternatives for Startups in 2026.