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
Any Data
Not SQL-only

Feature Comparison

CapabilityCacheeReadyset
Cache Hit Latency1.5µs (in-process L1)~1ms (query proxy)
Cache ScopeAny data — KV, JSON, sessions, API, computedSQL queries only (Postgres/MySQL)
ProtocolFull RESP — 133+ Redis commandsPostgres/MySQL wire protocol
AI Pre-WarmingNeural pattern predictionNone (materialized views)
Cache Hit Rate100% (AI-driven)High for supported queries
Auto-InvalidationTTL + pattern-basedAutomatic on write (wire protocol)
Session CachingNative RESP protocolNot supported (SQL-only)
API Response CachingNative (any serializable data)Not supported
Database SupportAny DB (via application logic)Postgres + MySQL only
Operations3-min sidecar deployProxy between app and DB (complex)
MonitoringBuilt-in AI dashboardBuilt-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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