# PandaStack vs Railway: Which One Should You Actually Use?
Railway became a cult favourite right after Heroku nuked its free tier. The UX is clean, the pricing is transparent, and the GitHub integration just works. I've used both Railway and PandaStack on real projects, and they're genuinely different tools despite looking similar on the surface.
Here's an honest breakdown.
What Railway Gets Right
Railway's strongest suit is speed. You can go from zero to a running container in under three minutes — connect a GitHub repo, pick a region, and you're live. The service variable sharing (linking a database URL directly into an app's environment) is genuinely clever and saves a lot of copy-paste.
Its dashboard is also clean. No clutter, no tabs you'll never visit. For solo projects and small startups, that friction-free setup is worth a lot.
Where PandaStack Covers More Ground
The differences start showing up when your project grows:
Database variety. Railway offers PostgreSQL and Redis. PandaStack adds MySQL and MongoDB. If your stack is built around MySQL — common for PHP apps, Drupal, or anything migrated from shared hosting — Railway isn't an option.
Edge functions. PandaStack ships OpenWhisk-based edge functions that support both Node.js and Python. Railway doesn't have an edge function product. If you need lightweight serverless logic at the network edge, you'd need to add a separate service.
Managed CMS apps. PandaStack's Managed Apps feature deploys WordPress and Drupal with a few clicks. For agencies juggling SaaS products alongside client CMS sites, having this under one dashboard (and one invoice) is a real time saver. Railway has nothing comparable.
SSO. PandaStack includes Google and Azure/SAML SSO on standard plans. Railway's SSO is limited to higher tiers. For teams with a company IdP, this matters more than it might seem.
Feature Comparison
| Feature | PandaStack | Railway |
|---|---|---|
| Container deployments | Yes | Yes |
| Managed PostgreSQL | Yes | Yes |
| Managed MySQL | Yes | No |
| Managed Redis | Yes | Yes |
| Managed MongoDB | Yes | No |
| Scheduled cronjobs | Yes | Yes (via cron services) |
| Edge functions | Yes | No |
| Managed WordPress | Yes | No |
| GitHub auto-deploy | Yes | Yes |
| SSO | Yes (all plans) | Higher tiers |
| RBAC | Owner / Admin / Member | Yes |
Pricing Philosophy
Railway charges for usage — compute hours, memory, outbound bandwidth. That model is great when your usage is genuinely spiky. PandaStack uses a more traditional plan-based model with predictable monthly costs, which most teams prefer for production budgeting.
Who Should Use Railway?
Railway is a great pick for:
- Personal projects and side apps where you want fast setup with minimal config
- Teams with straightforward stacks (Node.js or Python + PostgreSQL)
- Developers who value Railway's UI and workflow above everything else
Who Should Use PandaStack?
PandaStack fits better when:
- You need MySQL or MongoDB alongside PostgreSQL
- Your team manages CMS sites (WordPress, Drupal) in addition to app deployments
- Edge functions are part of your architecture
- SSO and RBAC are organizational requirements
Getting Started
npm install -g @pandastack/cli
panda login
panda deployDocs at [docs.pandastack.io](https://docs.pandastack.io). Dashboard at [dashboard.pandastack.io](https://dashboard.pandastack.io).