Specific vs Railway
How Specific compares to Railway as an alternative: the whole stack defined in one agent-writable config file, Docker-free local development, and built-in sync and durable workflows.
Railway is a deployment platform with a polished dashboard: you create services and databases in the UI, connect a repo, and Railway builds and runs it. Specific takes a different approach: your entire stack (services, databases, storage, workflows) is defined in a single config file that your coding agent writes, versioned with your code. If you’re looking for a Railway alternative where infrastructure lives in code instead of a dashboard, here’s how the two compare.
| Railway | Specific | |
|---|---|---|
| Agent integration | Dashboard-first | Agent-first |
| Infrastructure definition | Services and databases created in the dashboard | Full topology in one agent-writable config file |
| Config as code | Build/deploy settings for a single service (railway.json) |
Everything: services, databases, storage, workflows |
| Local development | Docker-based (railway dev), or cloud resources with injected env vars (railway run) |
specific dev runs the full stack locally, no Docker |
| Database | Postgres, MySQL, Redis, MongoDB | Managed Postgres with zero-downtime migrations, managed Redis |
| Object storage | Storage buckets | Built-in S3-compatible storage |
| Real-time | Not included | Built-in sync engine |
| Durable workflows | Not included | Built-in managed Temporal |
Infrastructure as code, not clicks
On Railway, the source of truth is the dashboard: services, databases, and their wiring are created and connected there. The railway.json config file covers build and deploy settings for a single service, not the topology itself.
With Specific, the config file is the whole system: every service, database, storage bucket, and workflow engine, plus how they connect. That makes infrastructure reviewable in pull requests, reproducible across environments, and, most importantly, writable by a coding agent. Your agent adds a Postgres database by writing four lines of HCL and running specific check, not by clicking through a dashboard it can’t see.
Local development without Docker
Railway’s local story is either railway run, which injects your cloud environment variables into a local process (your app runs locally, the resources stay in the cloud), or the Docker-based railway dev.
specific dev runs everything on your machine with no Docker at all: real Postgres from bundled binaries, an S3-compatible storage server, Redis, and a Temporal dev server, wired to your services with the same references production uses. Your agent can start the stack, test end to end, and read the logs, entirely offline.
Building blocks beyond deploys
Railway covers services, databases, and storage well. For real-time sync you’d assemble your own layer, and for durable background workflows you’d run and manage your own engine.
Specific ships both as one-line blocks: a sync engine that streams Postgres changes to clients over HTTP, and managed Temporal for durable workflows, with a local dev server and an auto-provisioned Temporal Cloud namespace in production.
Common questions
Is Specific a good alternative to Railway?
If you want your whole stack defined in code, a full local development environment, and infrastructure a coding agent can manage end to end, yes. If you prefer configuring services visually in a dashboard, or need MySQL or MongoDB specifically, Railway serves that well.
Can’t I get config-as-code on Railway?
Partially. Railway’s railway.json/railway.toml configures how a single existing service builds and deploys. Creating services, databases, and their connections still happens in the dashboard. A community-maintained Terraform provider can drive Railway’s API to fill that gap, but it brings Terraform’s own overhead with it: state files to manage, provider wiring, and still no local development environment (how Specific compares to Terraform). In Specific, the config file covers all of it natively.
How does local development actually differ?
Railway’s options are running against cloud resources with injected env vars, or a Docker-based local mode. Specific runs real local instances (Postgres, S3-compatible storage, Redis, Temporal) from bundled binaries with no Docker daemon, using the same config and references as production.