Aerospike is a great database. But for cache-hot reads in RTB, fraud scoring, and user profile lookups, Cachee's 1.5µs L1 tier is 333x faster — and adds AI pre-warming that Aerospike can't match.
| Capability | Cachee | Aerospike |
|---|---|---|
| Hot Read Latency | 1.5µs p99 (L1 memory) | ~500µs p99 (SSD optimized) |
| Throughput | 660K+ ops/sec (single node) | ~200K TPS (per node, SSD) |
| AI Pre-Warming | Neural pattern prediction | None |
| Cache Hit Rate | 99.05% (ML-optimized) | N/A — not a cache layer |
| Data Model | Key-value cache (hot reads) | Key-value + secondary indexes + UDFs |
| Persistence | L2/L3 tiers + backend proxy | Native SSD persistence |
| Complex Queries | Cache lookups only | Secondary indexes, aggregations, UDFs |
| Setup Complexity | 3 minutes (SDK or sidecar) | Hours — cluster sizing, rack-aware, SSD tuning |
| Operational Overhead | Fully managed option | Complex — defrag, eviction tuning, capacity planning |
| Cost Model | Per-request pricing, free tier | License fees + hardware (NVMe SSDs required) |
| Best For | Cache-hot reads, latency-critical | Persistent NoSQL with fast reads |
| Metric | Cachee | Aerospike |
|---|---|---|
| User profile lookup | 1.5µs | 500µs |
| Bids evaluated in 100ms | ~62,000 | ~2,000 |
| Auction win rate impact | +23% more auctions won | Baseline |
| Profile freshness | AI pre-warms before bid request | Read-on-demand only |
Add Cachee as an L1 tier in front of Aerospike. 3-minute setup. Free tier available.
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