Readyset Alternative
Cachee vs Readyset:
Cache Everything, Not Just SQL
Readyset caches SQL query results for Postgres and MySQL. Cachee caches everything — API responses, session data, computed results, key-value pairs — at 1.5µs with AI-powered optimization.
1.5µs
Cachee L1 cache hit
~1ms
Readyset query cache
Feature Comparison
| Capability | Cachee | Readyset |
| Cache Hit Latency | 1.5µs (in-process L1) | ~1ms (query proxy) |
| Cache Scope | Any data — KV, JSON, sessions, API, computed | SQL queries only (Postgres/MySQL) |
| Protocol | Full RESP — 133+ Redis commands | Postgres/MySQL wire protocol |
| AI Pre-Warming | Neural pattern prediction | None (materialized views) |
| Cache Hit Rate | 100% (AI-driven) | High for supported queries |
| Auto-Invalidation | TTL + pattern-based | Automatic on write (wire protocol) |
| Session Caching | Native RESP protocol | Not supported (SQL-only) |
| API Response Caching | Native (any serializable data) | Not supported |
| Database Support | Any DB (via application logic) | Postgres + MySQL only |
| Operations | 3-min sidecar deploy | Proxy between app and DB (complex) |
| Monitoring | Built-in AI dashboard | Built-in metrics |
Cost Comparison: Production Deployment
Readyset
$300+/mo
Cloud query proxy instance
+ Storage for materialized views
+ Monitoring
+ Limited to SQL workloads only
Cachee
$149/mo
Scale plan — any data type
AI optimization included
Full RESP protocol
Built-in monitoring
Different tools, different scope: Readyset is clever for SQL-heavy workloads — it materializes query results and auto-invalidates on writes. But most modern applications cache more than SQL: API responses, session tokens, computed results, rate limits, feature flags. Cachee handles all of it at 1.5µs with AI-powered optimization.
Using Both — or Just Cachee
Flexible architecture: Use both where it makes sense: Readyset for automatic SQL query caching with write-through invalidation. Cachee for everything else — session state, API responses, computed results, rate limiting, feature flags. Or use Cachee alone with your application's caching logic for a simpler, faster, universal solution.
What Cachee Has That Readyset Doesn't
16 features that exist nowhere else in the caching ecosystem.
⚡
CDC Auto-Invalidation
DB changes invalidate cache keys in <1ms. Zero code.
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🔗
In-Process Vector Search
HNSW at 0.0015ms. 660x faster than Redis 8.
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🎯
Cache Triggers
Lua functions fire on cache events. Sub-µs.
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🔄
Cross-Service Coherence
Auto L1 sync across microservices.
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💰
Cost-Aware Eviction
Evict cheap data first. Keep expensive computations.
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📊
Causal Dependency Graph
DEPENDS_ON. Transitive invalidation.
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📋
Cache Contracts
Per-key SLAs. SOC 2/FINRA/HIPAA auditable.
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🔮
Speculative Pre-Fetch
Predict next 3-5 keys on miss.
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🧩
Cache Fusion
Fragment composition. Zero over-invalidation.
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🎯
Semantic Invalidation
Invalidate by meaning. CONFIDENCE threshold.
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🛡️
Self-Healing Consistency
Detect poisoning. Auto-repair. Consistency score.
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🌐
Federated Intelligence
Cross-deployment learning. Zero cold starts.
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⚙️
MVCC
Zero-contention reads. Consistent snapshots.
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💾
Hybrid Memory Tiering
RAM + NVMe. 100x larger working sets.
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🕐
Temporal Versioning
Git for your cache. GET AT timestamp.
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🚀
Zero-Copy L0
Sub-ns shared memory. Python ML native.
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Cache Everything, Not Just Queries
Deploy Cachee in 3 minutes. Any data type, 1.5µs hits, AI warming. Not limited to SQL.
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