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ODAM Documentation
API Reference & Guides
Performance & Benchmarks
Real-world performance metrics, scalability data, and optimization strategies for ODAM
Enterprise-Grade Performance
ODAM is built for scale with sub-100ms response times, 99.9% uptime, and support for millions of memories per user. Our architecture scales horizontally to handle any workload.
Key Performance Metrics
47ms
Average Response Time
95th percentile: 89ms
99.97%
Uptime SLA
Last 12 months
10M+
Memories per User
Maximum capacity
50K
Requests per Second
Peak capacity
Memory Search Performance
Comparison of memory search speeds across different memory sizes and query complexities.
| Memory Size | ODAM | Traditional DB | Improvement |
|---|---|---|---|
| 1K memories | 23ms | 156ms | 6.8x faster |
| 10K memories | 34ms | 423ms | 12.4x faster |
| 100K memories | 47ms | 1.2s | 25.5x faster |
| 1M memories | 63ms | 4.1s | 65.1x faster |
Cost Efficiency
82%
Token Savings
vs. full context
$0.003
Cost per Chat
with ODAM memory
94%
User Satisfaction
with contextual responses
Performance Optimization Tips
⚡Batch operations: Group multiple memory operations to reduce API calls
⚡Cache frequently accessed memories: Implement client-side caching
⚡Use specific queries: Targeted searches are faster than broad ones
⚡Async processing: Use asynchronous requests for better UX