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How BTS compares to Vercel, Netlify, Railway, Fly.io, and Render

Plenty of platforms deploy your code. Only one gives every branch a full-stack environment — app, Postgres, Redis — with a database that survives every push.

FeatureBTSVercelNetlifyRailwayFly.ioRender
Preview URL per branch
Railway, Fly.io, and Render need per-repo PR-environment setup or a paid tier.
YesYesYesPartialPartialPartial
Full-stack preview (app + Postgres + Redis + S3)
Database and cache spun up for every branch, not just the frontend.
YesNoNoPartialNoNo
Database persists across pushes
Incremental deploys rebuild only the app. Seed each branch from a SQL script or pg_dump backup; test data survives every push.
YesNoNoNoNoNo
Deploy any Dockerfile (no framework lock-in)
YesPartialPartialYesYesYes
Hard resource quotas, no usage metering
Fixed vCPU, vRAM, and build-minute ceilings — no per-request, per-GB, or per-build-minute metering.
YesNoNoPartialPartialNo
Self-hostable (open agent + control plane)
YesNoNoNoNoNo
Bring your own compute (run your own node)
YesNoNoNoNoNo
Typical cost for 10 preview envs / month
Rough estimate for a small Node app + small Postgres, running 24/7.
~$15~$400+~$350+~$80~$60~$80

YesPartial — extra setup or a higher tierNo

Compiled from public documentation. Something wrong? Tell us and we will fix it.

Full-stack, not just frontend

Vercel and Netlify were designed for the Jamstack era — static assets plus edge functions. BTS runs your actual Dockerfile, your actual backend, your actual database.

Persistent databases per branch

The killer feature that nobody else ships. Your Postgres survives every push, so test data and user sessions persist between deploys. Reset when you want, not every time.

Built for preview workflows

Fixed vCPU, vRAM, and build-minute quotas with no usage metering. Outgrowing a tier? Resource add-ons raise the ceilings by +1 vCPU / +2 GB vRAM per unit.

Head-to-head deep dives

Detailed breakdowns of how BTS compares to each platform on real-world workflows.

See the difference on your own repo

Connect a GitHub repo, push a branch, and have a full-stack preview URL running in under a minute. Free to start.