We ran independent benchmark tests evaluating compiled JavaScript edge execution against industry-standard serverless and V8 isolate providers. The tests measure isolated logic processes on identical hardware VM profiles.
Average execution time for standard HTTP request routing and custom JSON response payloads.
Time (lower is better)
DataVec Compiled C
0.08 ms
Deno Deploy
0.95 ms
Cloudflare Workers
1.15 ms
Vercel Edge
12.4 ms
AWS Lambda (Node.js)
45.2 ms
Execution Details & Delta
| Provider | Metric | Delta vs C |
|---|---|---|
DataVec Compiled C Statically compiled C coroutine | 0.08 ms | 1x (Baseline) |
Deno Deploy V8 Isolate runtime engine | 0.95 ms | 11.8x slower |
Cloudflare Workers V8 Isolate cloud sandbox | 1.15 ms | 14.3x slower |
Vercel Edge Node.js edge execution wrapper | 12.4 ms | 155.0x slower |
AWS Lambda (Node.js) MicroVM Docker bootstrap | 45.2 ms | 565.0x slower |
V8 isolates (used by Cloudflare Workers and Deno) are incredibly fast compared to full VMs, but they still run JavaScript via a JIT compiler/interpreter sandbox with dynamic memory management. DataVec avoids this by translating ECMAScript AST logic directly to native C structs and stateful coroutines. There is no JIT compilation warmup, no active interpreter overhead, and zero heap runtime garbage collection pauses.
Standard serverless functions and V8 sandboxes spin up isolates dynamically in response to routing requests, introducing network allocation penalties. DataVec compiles your service into a standalone 104 KB executable. The runtime runs as a resident coroutine loop inside our edge execution layer. Requests are routed instantly to the already active stackless execution thread, dropping cold start delay completely below the threshold of measurement.
Deploy standard Web Workers, Next.js static builds, and Elysia APIs with predictable pricing locks starting at $10/month.