ColdFusion 2025 Performance Benchmarks

Comprehensive performance benchmarks for ColdFusion 2025 conducted by Convective, including JDK comparisons, database operations, and real-world application metrics.

Test Environment

Hardware

  • CPU: AMD EPYC 7763 (16 cores, 32 threads)
  • RAM: 64GB DDR4-3200
  • Storage: NVMe SSD (7000MB/s read)
  • Network: 10Gbps

Software

  • OS: Red Hat Enterprise Linux 9.5
  • ColdFusion: 2025 (Build 2025.0.0.330518)
  • JDK: Eclipse Temurin 17.0.13 & 11.0.25
  • Web Server: Apache 2.4.62
  • Database: PostgreSQL 16.6

Configuration

  • Heap: 24GB (-Xms24g -Xmx24g)
  • GC: G1GC (default for JDK 17)
  • Threads: 250 max request threads
  • Connections: 100 per datasource

JDK 17 vs JDK 11 Performance

ColdFusion 2025 with JDK 17 shows significant performance improvements over JDK 11 across all metrics.

MetricJDK 11JDK 17Improvement
Average Response Time142ms98ms31% faster
P95 Response Time385ms243ms37% faster
P99 Response Time892ms521ms42% faster
Throughput (req/sec)3,4204,68037% increase
GC Pause Time (avg)124ms67ms46% reduction
Memory Footprint18.2GB16.8GB8% reduction

Database Operation Benchmarks

Performance metrics for common database operations using PostgreSQL datasource with connection pooling.

Operation TypeOperations/secAvg LatencyP99 Latency
Simple SELECT (indexed)28,4003.5ms12ms
Complex JOIN (3 tables)8,20012.2ms38ms
INSERT with transaction12,6007.9ms24ms
UPDATE with WHERE11,8008.5ms26ms
Stored Procedure Call15,3006.5ms21ms
Paginated Query (50 rows)9,40010.6ms32ms

Application-Level Performance

Real-world application scenarios with typical ColdFusion operations.

ScenarioThroughputResponse TimeNotes
Simple CRUD Page5,800 req/sec45ms avgDatabase + template rendering
Complex Dashboard1,200 req/sec185ms avg10 queries, charts, aggregation
REST API Endpoint8,400 req/sec28ms avgJSON serialization
File Upload (10MB)320 req/sec312ms avgMultipart form processing
PDF Generation85 req/sec1.18s avg5-page report with images
Email Sending420 req/sec238ms avgSMTP with 2 attachments

Caching Performance Impact

Performance gains from implementing various caching strategies.

Cache TypeWithout CacheWith CacheImprovement
Template Cache142ms avg95ms avg33% faster
Query Cache (Redis)45ms avg8ms avg82% faster
Object Cache (Redis)120ms avg12ms avg90% faster
Page Cache (Full Page)185ms avg5ms avg97% faster

Concurrency & Scalability

Performance under increasing concurrent load.

Concurrent UsersThroughputResponse TimeError Rate
1004,680 req/sec21ms avg0%
5005,200 req/sec96ms avg0%
1,0005,450 req/sec183ms avg0.01%
2,0005,580 req/sec358ms avg0.08%
5,0005,420 req/sec922ms avg1.2%

Key Findings

JDK 17 Performance

JDK 17 delivers 31-42% performance improvements over JDK 11 across all metrics. GC pause times reduced by 46%, significantly improving user experience.

Database Optimization

Properly indexed queries achieve 28,400 operations/sec with 3.5ms average latency. Connection pooling is critical for maintaining performance under load.

Caching Impact

Redis-backed query and object caching provides 82-90% response time improvements. Full-page caching delivers 97% faster responses for cacheable content.

Scalability

ColdFusion 2025 maintains consistent throughput up to 2,000 concurrent users with minimal error rates. Proper JVM sizing and thread pool tuning are essential.

Benchmark Methodology

  • Load Testing Tool: Apache JMeter 5.6 with distributed testing
  • Test Duration: 30 minutes per scenario after 5-minute warmup
  • Monitoring: FusionReactor for JVM metrics, PostgreSQL pg_stat_statements for database
  • Multiple Runs: Each test executed 5 times, median values reported
  • Isolation: Dedicated test environment with no other workloads
  • Network: Local network with <1ms latency to eliminate network variables

Need Performance Optimization?

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