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nesly vs Vercel

An honest comparison: where nesly is different, what Vercel has that we do not, and how to decide.

Vercel is the company behind Next.js and the reference platform for frontend teams deploying it.

Both platforms deploy your code from a push or a command and hand back a live URL. The differences below are the ones that actually decide the choice — and where Vercel is simply ahead, this page says so.

Where nesly is different

  • Your data lives in Türkiye (İstanbul) and a data processing addendum is part of the terms — for teams whose users, regulators or contracts expect exactly that.
  • Pricing is in Turkish lira, with a 30-day trial — no currency risk on a card statement.
  • Managed SQL Server next to PostgreSQL — the .NET shop's stack works as-is, with ConnectionStrings__Default injected.
  • Built to be operated by AI agents: the CLI is also an MCP server, every command speaks --json with stable exit codes, and `nesly diagnose` names the failure and its fix instead of handing an agent raw logs.
  • Every workload runs in a gVisor sandbox behind an allowlist network policy, and every image is scanned on push — documented on the security page together with what we do not claim.
  • The whole product is operable from the terminal: deploys, databases, backups, domains, usage, data export, account closure.

What Vercel has that we do not, today

  • A global edge network — your site served from a location near every visitor, worldwide.
  • Serverless and edge functions, plus Next.js features (ISR, image optimisation) at first-party depth nobody else matches.
  • A large marketplace of integrations, preview deployment comments, and SOC 2 compliance.

We would rather you read this here than discover it after migrating. The security page keeps the same rule about our own claims.

How to decide

Choose Vercel when your audience is global, your stack is Next.js end to end, or you rely on their serverless primitives.

Choose nesly when your users and your data belong in Türkiye, you want containers and databases (PostgreSQL or SQL Server) next to your frontend, or your deploys are driven by an AI agent over MCP.

Trying it costs two commands: start from a template or follow get started. Plans and allowances: pricing.