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JavaScript Runtime Performance Analysis: Bun vs Deno 2.0 vs Node.js

Executive Summary

Performance vs stability trade-offs for JavaScript runtimes in production environments. Data from 8 months of production deployment across multiple projects.

Critical Decision Factors:

  • Bun: 2.25x faster than Node.js but unpredictable production failures
  • Deno 2.0: 1.5x faster than Node.js with modern tooling, stable in production
  • Node.js: Predictable performance, extensive ecosystem, enterprise-ready

Performance Benchmarks (Production Workloads)

Runtime Typical RPS Memory Usage Cold Start Critical Failure Points
Bun 1.1.34 12-18k 95MB 45ms Windows CI, Prisma crashes, Docker Alpine
Deno 2.0 8-12k 140MB 120ms Complex npm packages, permission configuration
Node.js 22.9 6-9k 180MB 150ms None (predictable performance degradation)

Real-World Performance Impact

  • Express API Migration: Node.js 8k RPS → Bun 18k RPS (125% improvement)
  • Memory Reduction: Node.js 180MB → Bun 95MB (47% reduction)
  • Build Time Improvement: 45 seconds → 8 seconds with Bun
  • Black Friday Load Test: Bun 48k RPS for 3 hours, then memory corruption failure

Configuration Requirements

Bun Production Configuration

Critical Settings:

  • Use Ubuntu base images in Docker (Alpine Linux causes crashes)
  • Prisma 5.9.1+ required to avoid segmentation faults
  • Avoid Windows Server deployment entirely
  • Connection pooling essential above 200 concurrent users

Breaking Point: Memory corruption at sustained high load (>40k RPS for 3+ hours)

Deno 2.0 Production Configuration

Required Permissions:

--allow-net --allow-env --allow-read --allow-write

Critical Notes:

  • Permission flags required even for basic environment variable access
  • JSR ecosystem smaller than npm (migration consideration)
  • TypeScript works without build configuration

Node.js Production Configuration

Stability Requirements:

  • LTS versions only for production
  • Standard connection pooling patterns
  • Mature APM integration available

Critical Failure Modes

Bun Critical Issues

  1. Prisma Integration: Segmentation fault: 11 in Docker containers (Alpine Linux)
  2. Windows Support: File watching system failures, random CI crashes
  3. Memory Corruption: malloc(): memory corruption under sustained load
  4. Header Case Sensitivity: Stripe API integration failures due to header handling differences
  5. Native Module Compatibility: bcrypt, sharp, sqlite3 frequent failures

Deno 2.0 Critical Issues

  1. Permission System Complexity: 2-week debugging cycles for Docker builds
  2. NPM Package Compatibility: Sharp module still problematic
  3. Smaller Community: Limited Stack Overflow solutions
  4. Learning Curve: Permission flags configuration overhead

Node.js Critical Issues

  • None reported in 8-month production testing
  • Predictable memory usage patterns
  • Extensive debugging tools and community support

Resource Requirements

Implementation Time Investment

  • Bun Migration: 2-3x estimated time due to compatibility issues
  • Deno Migration: 1.5x estimated time due to permission system learning
  • Node.js: Baseline time estimate reliable

Expertise Requirements

  • Bun: Requires debugging Zig-level issues, limited community support
  • Deno: Modern JavaScript knowledge, permission system understanding
  • Node.js: Standard JavaScript expertise, extensive documentation

Operational Costs

  • Bun: Higher debugging overhead, potential weekend outages
  • Deno: Moderate learning curve, good documentation
  • Node.js: Predictable maintenance costs, mature tooling

Decision Matrix by Use Case

High-Performance Requirements

Choose Bun if:

  • Internal tooling where downtime acceptable
  • Performance critical (>15k RPS requirements)
  • Small team capable of exotic debugging
  • Linux/Mac development environment only

Risk Assessment: High performance gain with high operational risk

Modern Development Experience

Choose Deno 2.0 if:

  • TypeScript-first development required
  • Security permissions model beneficial
  • Starting new projects without legacy constraints
  • Serverless/edge deployment target

Risk Assessment: Moderate performance gain with low operational risk

Enterprise/Critical Systems

Choose Node.js if:

  • System availability critical (>99.9% uptime requirements)
  • Large development team
  • Enterprise support requirements
  • Windows compatibility needed
  • Extensive npm ecosystem dependencies

Risk Assessment: Standard performance with minimal operational risk

Migration Warnings

Package Compatibility Issues

High-Risk Packages:

  • bcrypt: Native compilation issues with Bun
  • sharp: Image processing failures in Deno
  • Prisma: Segmentation faults in Bun Docker containers
  • Native C++ modules: General compatibility problems

Platform-Specific Failures

Windows Development:

  • Bun: File watching system completely broken
  • Deno: Full compatibility
  • Node.js: Full compatibility

Docker Deployment:

  • Bun: Alpine Linux causes crashes, Ubuntu required
  • Deno: Standard Docker patterns work
  • Node.js: All base images compatible

Debugging Capabilities

Error Resolution Time

  • Node.js: 10 minutes average (extensive Stack Overflow coverage)
  • Deno: 30-60 minutes average (growing community)
  • Bun: 2-6 hours average (cryptic Zig stack traces, limited community)

Monitoring Integration

  • Node.js: Full APM integration (New Relic, DataDog, etc.)
  • Deno: Basic monitoring available
  • Bun: Limited production monitoring tools

Business Impact Assessment

Revenue Risk

  • Bun: High risk - potential for extended outages during peak traffic
  • Deno: Low risk - predictable performance characteristics
  • Node.js: Minimal risk - mature operational patterns

Team Productivity Impact

  • Bun: High initial productivity boost, potential for significant debugging overhead
  • Deno: Moderate productivity improvement with modern tooling
  • Node.js: Stable baseline productivity

Hiring Considerations

  • Bun: Limited candidate pool familiar with runtime-specific issues
  • Deno: Growing candidate pool, attractive to modern developers
  • Node.js: Largest candidate pool, standard skill set

Recommended Implementation Strategy

New Projects

  1. High Performance Requirements: Bun (with extensive testing)
  2. Modern Tooling Priority: Deno 2.0
  3. Enterprise Requirements: Node.js

Migration Projects

  1. Performance Critical: Gradual Bun migration with rollback plan
  2. Modernization Focus: Deno 2.0 for new services
  3. Risk Averse: Remain with Node.js, optimize existing implementation

Team Size Considerations

  • <5 developers: Bun acceptable risk level
  • 5-20 developers: Deno 2.0 optimal balance
  • >20 developers: Node.js operational safety required

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