WASM Engines: Performance vs LLDB Variable Resolution Issue

Benchmarks and issues as of October 25, 2025. Data synthesized from recent reports and guides.

Engine Performance Summary (2025 Benchmarks) LLDB Variable Resolution Issue
Wasmtime High throughput (~1.4x native in managed lang backends); Cranelift JIT excels in server-side (e.g., 78% faster startup in containerized WASM vs. alternatives); strong for complex workloads but higher memory use. Severe: Local vars show "not available" after stepping into functions/if-blocks due to DWARF lowering in JIT (open issue since 2022; affects Windows/macOS).
Wasmer Balanced (~2x native); good cross-platform (browser/server); singlepass AOT for fast cold starts; ~10-20% slower than Wasmtime in CPU-bound but lighter footprint. Minor: Occasional symbol mismatches in JIT mode, but vars generally resolve; no widespread reports—use with Emscripten for best DWARF compatibility.
WAMR (WebAssembly Micro Runtime) Excellent startup (<11% slower than native in embedded); interpreter + AOT hybrid; top for IoT/low-resource (fastest in memory-efficient containers); ~3-5x native in throughput. None/Minor: Full LLDB support via GDB-stub; vars resolve well in AOT mode (2025 guide confirms no scope loss); interpreter avoids JIT remapping bugs.
V8 (Liftoff/TurboFan for WASM) Browser-dominant (~1.2x native); Liftoff baseline + TurboFan opt; fastest cold-start in JS interop; server (Node) ~15% behind Wasmtime but seamless with JS. Minor: Optimized vars may hide, but scopes/if-vars available via DevTools/LLDB stubs; rare "no location" in aggressive opts—mitigate with -O0.