2026-08-13 · 5 min read
Why a Go backend feels fast (and what that means for your app)
“Fast” gets claimed a lot and explained rarely. This post explains, with no lab benchmarks and no hand-waving, why the Rapibase architecture — a Go monolith — produces low, consistent latency, and what that actually means for your application.
Compiled, not interpreted
Go compiles to machine code. There's no interpreter warming up, no JIT deciding what to optimize, no node_modules to load. The whole binary of a Rapibase instance — API, auth, realtime, MCP, and the functions runtime — is a few tens of MB and starts in seconds. That also makes upgrades cheap: recreating your instance on a new version takes as long as it takes to boot.
Goroutines: concurrency with nothing to tune
Every request to your API runs in a goroutine: extremely light threads managed by the Go runtime, thousands of them in parallel, with no worker pools to size and no event loop to block. One slow request (a heavy query, an external fetch) doesn't hold up the rest.
Zero cold starts
In serverless architectures, the first request after a quiet stretch pays for starting the runtime — the famous cold start. Your Rapibase instance is a process that is already running: the 3 a.m. request answers like the noon one. Same for TypeScript functions — they run in an embedded interpreter inside that same process, already loaded.
One process, zero internal network hops
The REST API, auth, realtime, MCP, and functions live in the same process, talking to a Postgres on the same container network. There's no chain of microservices adding milliseconds at every hop. Realtime, on top of that, comes out of Postgres's WAL — the database's own write-ahead log — so your WebSockets get real changes, no polling.
What it means for you
- Consistent latency: no spikes from cold starts or noisy neighbors in your database.
- A modest instance goes a long way — which is why we can charge a flat price.
- Fewer pieces to operate, fewer pieces to break.
Speed isn't a marketing number here: it's a consequence of the architecture. And since the core is open source, you can read it yourself.
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