Why Golang Outshines Bun for High-Performance API Development

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· By: peterKing · Blog
Why Golang Outshines Bun for High-Performance API Development

For API development involving heavy database access, object storage (buckets), third-party API calls, and media generation—where compiling to a standalone binary is key—Golang is the stronger recommendation over Bun. It delivers superior real-world performance, lower resource usage, and mature tooling for complex workloads, while both compile to efficient binaries (Go via go build, Bun via bun build --compile).

Performance in Relevant Scenarios

Benchmarks show Bun shining in synthetic HTTP tasks like static JSON responses, often tying or edging out Go in raw requests per second (RPS).[2][5] For example, in simple "Hello World" servers, Bun and Go are neck-and-neck, with Bun sometimes leading on lighter requests.[2][6] However, when workloads mirror your needs—database inserts, dynamic data processing—Go pulls ahead decisively.[1][3]

  • Database-heavy ops: Go halves latency and CPU usage vs. Bun for MongoDB inserts, avoiding out-of-memory crashes that plague Bun under load.[1][3]
  • Real-world throughput: Bun falters beyond static benchmarks; Go maintains low latency (e.g., ~5ms vs. Bun's 10ms+ at 60k+ RPS) and scales better across CPUs.[1][3]
  • Memory efficiency: Go uses ~25MB even under multi-core stress, while Bun spikes dramatically—critical for APIs juggling DB queries, bucket uploads, and media tasks.[2]
Aspect Go Bun
Simple HTTP RPS Ties or slightly behind[2][5] Often leads[2][5]
DB Latency/CPU ~50% better, lower usage[1][3] Higher, prone to throttling[1][3]
Memory (multi-core) ~25MB[2] Highest by far[2]
Concurrency Goroutines excel natively[4] JS event loop limits scale[1]

Fun fact: Go's goroutines—lightweight threads—let it handle "lots of" concurrent DB/3rd-party calls effortlessly, like Kubernetes itself (written in Go).[1][4] Bun, built on JavaScriptCore (WebKit's engine), mimics Node but inherits single-threaded bottlenecks for I/O-heavy media generation.[3]

Compilation to Binaries

Both deliver self-contained executables without runtime dependencies:

  • Go: go build produces a single ~10-20MB binary, optimized for any OS/architecture. Deploy anywhere—no VM needed.[4]
  • Bun: bun build --compile --target=bun-linux-x64 creates a binary too, but it's larger due to embedded JS runtime and less mature ahead-of-time (AOT) optimization.[5] Still beta-ish as of late 2024 benchmarks.[2]

Go wins for production: smaller, faster cold starts, and battle-tested (e.g., Docker, Prometheus).

Ecosystem and Developer Experience for Your Use Case

Your API needs libraries for databases (PostgreSQL/MySQL/Mongo), buckets (S3-compatible like MinIO), 3rd-party APIs (HTTP clients), and media generation (image resizing, video thumbnails).

  • Go's strengths:

    Need Top Libraries Why It Fits
    Databases database/sql + pgx/sqlite; GORM ORM Rock-solid, concurrent-safe; handles "lots of" queries efficiently.[1]
    Buckets AWS SDK (S3); MinIO Go client Native concurrency for uploads/downloads.
    3rd-party APIs net/http; resty Blazing fast, goroutine-friendly.
    Media Generation imaging; go-vips Processes images/videos in-memory at scale without GC pauses.

    Go's stdlib covers 80% of APIs; ecosystem is production-grade for microservices.[4]

  • Bun's strengths (but gaps):

    Need Libraries Limitations
    Databases Bun SQLite; Drizzle ORM Great for JS devs, but PostgreSQL drivers lag vs. Go's maturity.
    Buckets/3rd-party Node-compatible (fetch, Axios) JS ecosystem huge, but higher latency in benchmarks.[1]
    Media Sharp (via bun-sharp) Fast, but memory-hungry under load.[2]

    Bun excels if you're JS/TS-native—zero-config servers, hot reload—but lacks Go's concurrency depth for "lots of" parallel ops.[4] Media generation (e.g., FFmpeg bindings) feels more natural in JS land, yet Go libraries match speed with less overhead.

Interesting fact: Bun's creator aimed to fix Node's slowness (10x faster package installs), but real API "work" like yours exposes JS limits—Go was designed for it from day one.[3][4]

Trade-offs and Recommendation

  • Pick Go if: Scale, reliability, and efficiency matter—e.g., high-traffic APIs with unpredictable DB/3rd-party loads. Compiles to tiny binaries; deploys to edge/cloud effortlessly. Learning curve: Simple syntax, but concurrency model rewards practice.
  • Pick Bun if: You're deep in JS/TS ecosystem, prototyping fast, or media/3rd-party libs must be npm-first. Riskier for production scale today.

Bottom line: Go for your described workload. It's the safe, high-performance bet with binary compilation, dominating where it counts—real I/O and concurrency.[1][2][3][4] Start with Go's net/http + database/sql for a minimal API; scale from there. Bun's promising but not yet production-primetime for heavy lifting.[2]

Sources

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