A Golang backend platform for APIs

Apito’s engine is built in Go: high performance, low latency, and small footprint. GraphQL and REST APIs that scale.

How it works

DB → Apito Engine → API → Client

Your database stays the source of truth. Apito reads your schema and exposes it as GraphQL and REST. Clients call the API; Apito translates and runs queries against your DB.

You connect your existing database. Apito does not own or migrate your data. It generates types, queries, and mutations from your schema so you get a working API without writing resolver or REST boilerplate.

Why Golang?

Go is built for concurrent, efficient servers. Apito uses it so your API layer stays fast and resource-light — whether you run it on a single box or scale out. You get a production-grade engine without the overhead of heavier runtimes.

  • Low latency and high throughput for API traffic.
  • Small binaries and low memory use; easy to containerize.
  • Single binary deployment; no runtime dependency hell.

Use cases

  • Teams that want a performant, scalable API layer.
  • High-traffic or latency-sensitive backends.
  • Unified GraphQL/REST over existing DBs with minimal footprint.

Bring your own DB

MySQL → GraphQL API in 5 minutes

Connect MySQL, get a full GraphQL API with queries and mutations. No code.

MongoDB → REST API in minutes

Point Apito at MongoDB; REST endpoints and optional GraphQL are generated automatically.

Existing production DB → no migration

Use your current database as-is. Apito connects read-only or read-write; no schema takeover.

FAQ

Is Apito written in Go?
Yes. The Apito engine is built in Go (Golang) for performance and low resource use. You get a fast, scalable API layer without the overhead of heavier runtimes.
Do I need to write Go to use Apito?
No. You use Apito via config, CLI, and API. Your apps can be in any language; they just call the GraphQL or REST API Apito exposes.
Why does Golang matter for a backend platform?
Go gives you low latency, high throughput, and small binaries. That means your API layer scales well and runs efficiently on your own infra or in containers.