Is Cachee a Redis replacement?

No. Cachee is an AI caching layer that deploys on top of Redis. It adds a 31ns L1 cache tier with AI-predicted pre-warming. Your Redis cluster stays exactly where it is — Cachee enhances it, doesn't replace it.

Is Cachee compatible with Redis clients?

Yes. Cachee speaks full RESP protocol and supports 133+ Redis commands. Any Redis client library (ioredis, redis-py, go-redis, Jedis) works as a drop-in replacement. Just change the host.

How much faster is Cachee than Redis?

Cachee L1 cache hits resolve in 1.5 microseconds — 500,000x faster than a typical Redis network roundtrip of ~1ms. L2 cache hits (Redis-backed) add zero overhead since Cachee proxies transparently.

Does Redis support CDC auto-invalidation?

No. Redis requires manual invalidation — your application must explicitly DEL or EXPIRE keys when the underlying database changes. Cachee's CDC auto-invalidation watches your database WAL (Postgres, MySQL, MongoDB) and invalidates affected cache keys in under 1ms with zero application code. Redis does offer client-side tracking notifications, but these only notify — they don't automatically map DB row changes to cache keys.

Does Redis have in-process vector search?

Redis 8 introduced Vector Sets as a server-side data type, but queries still require a network roundtrip (~200µs minimum). Cachee runs HNSW vector search in-process at 0.0015ms (31ns) — 660x faster than Redis Vector Sets. For Redis, vector search is an add-on feature on a networked server. For Cachee, it's an in-process primitive with no serialization overhead.

Does Redis support cache contracts with SLA guarantees?

No. Redis has TTL-based expiration, but no concept of per-key freshness SLAs, compliance auditing, or contract enforcement. Cachee cache contracts let you define freshness guarantees per key pattern (e.g., 'pricing data must be <500ms stale') with audit logs suitable for SOC 2, FINRA, and HIPAA compliance. Redis treats all keys equally — there's no way to enforce that critical data stays fresher than non-critical data.

Can Redis detect cache poisoning?

No. Redis stores whatever you write to it — it has no mechanism to detect corrupted or poisoned cache entries. Cachee's self-healing consistency system continuously validates cached data against source-of-truth checksums, detects drift or poisoning, auto-repairs affected keys, and exposes a real-time consistency score. This is critical for financial, healthcare, and security-sensitive workloads where a bad cache entry can cause real damage.

Does Redis have a causal dependency graph?

No. Redis has no concept of key relationships or dependency tracking. If key A depends on key B, and B changes, your application must manually invalidate A. Cachee's causal dependency graph lets you declare DEPENDS_ON relationships between keys, and when a parent key is invalidated, all dependent keys are transitively invalidated automatically. This eliminates an entire class of stale-data bugs that plague Redis deployments.

Cachee vs Redis — Best Redis Alternative with Sub-Microsecond Cache Hits

Q: Can Redis detect cache poisoning?

No. Redis stores whatever you write to it — it has no mechanism to detect corrupted or poisoned cache entries. Cachee's self-healing consistency system continuously validates cached data against source-of-truth checksums, detects drift or poisoning, auto-repairs affected keys, and exposes a real-time consistency score. This is critical for financial, healthcare, and security-sensitive workloads where a bad cache entry can cause real damage.

Q: Does Redis have a causal dependency graph?

No. Redis has no concept of key relationships or dependency tracking. If key A depends on key B, and B changes, your application must manually invalidate A. Cachee's causal dependency graph lets you declare DEPENDS_ON relationships between keys, and when a parent key is invalidated, all dependent keys are transitively invalidated automatically. This eliminates an entire class of stale-data bugs that plague Redis deployments.

Cachee vs Redis:
500,000x Faster Cache Hits

Cachee isn't a Redis replacement — it's an AI caching layer that deploys on top of Redis. Your data stays in Redis. Cachee adds a 1.5µs L1 tier with AI-predicted pre-warming.

1.5µs

Cachee L1 cache hit

~1ms

Redis network roundtrip

1,000x

Faster on cache hits

Feature Comparison

Capability	Cachee	Redis
L1 Cache Hit Latency	1.5µs p99	~1ms (network bound)
Throughput	32M+ ops/sec (single node)	~100K ops/sec (single thread)
Cache Hit Rate	100% (AI pre-warming)	~85-92% (static TTL)
AI Pre-Warming	Yes — neural pattern prediction	No
Eviction Policy	Adaptive tiny-cachee (ML-driven)	LRU, LFU, random, volatile
RESP Protocol	Full — 133+ commands	Native
Client Libraries	All Redis clients work	Native ecosystem
Cluster Mode	Auto-sharding + AI routing	Manual sharding
Multi-tier Caching	L1 (memory) + L2 (Redis) + L3 (disk)	Single tier only
Deployment	3 minutes — SDK or sidecar	Self-managed or cloud
Data Sovereignty	Self-hosted + managed options	Depends on provider
Cost (at scale)	40-70% infrastructure savings	Linear cost scaling

Capability

Cachee

Redis

L1 Cache Hit Latency

1.5µs p99

~1ms (network bound)

Throughput

32M+ ops/sec (single node)

~100K ops/sec (single thread)

Cache Hit Rate

100% (AI pre-warming)

~85-92% (static TTL)

AI Pre-Warming

Yes — neural pattern prediction

Eviction Policy

Adaptive tiny-cachee (ML-driven)

LRU, LFU, random, volatile

RESP Protocol

Full — 133+ commands

Native

Client Libraries

All Redis clients work

Native ecosystem

Cluster Mode

Auto-sharding + AI routing

Manual sharding

Multi-tier Caching

L1 (memory) + L2 (Redis) + L3 (disk)

Single tier only

Deployment

3 minutes — SDK or sidecar

Self-managed or cloud

Data Sovereignty

Self-hosted + managed options

Depends on provider

Cost (at scale)

40-70% infrastructure savings

Linear cost scaling

When to Choose Cachee + Redis

Use Case	Why Cachee Wins
Trading / HFT	1.5µs vs 1ms = 500,000x faster market data lookups. Every microsecond is alpha.
AI Inference	KV cache hits at memory speed. Eliminate GPU HBM bottleneck. 3-5x inference throughput.
Gaming	Game state reads in 1.5µs vs 1-10ms Redis. Reclaim 40-60% of your tick budget.
Ad Tech / RTB	Evaluate 31x more bids in 100ms auction windows with sub-microsecond profile lookups.
Fraud Detection	Score 1,000+ risk signals under 1ms. 55% fewer false declines.

Use Case

Why Cachee Wins

Trading / HFT

1.5µs vs 1ms = 500,000x faster market data lookups. Every microsecond is alpha.

AI Inference

KV cache hits at memory speed. Eliminate GPU HBM bottleneck. 3-5x inference throughput.

Gaming

Game state reads in 1.5µs vs 1-10ms Redis. Reclaim 40-60% of your tick budget.

Ad Tech / RTB

Evaluate 31x more bids in 100ms auction windows with sub-microsecond profile lookups.

Fraud Detection

Score 1,000+ risk signals under 1ms. 55% fewer false declines.

Migration: 3 Minutes, Zero Risk

Step 1: npm install @cachee/sdk
Step 2: Change your Redis host to your Cachee endpoint
Step 3: That's it. Same client, same commands, 500,000x faster hits.

Cachee proxies all commands to your Redis backend transparently. If Cachee is ever unavailable, traffic falls through to Redis automatically. Zero data loss risk.

What Cachee Has That Redis Doesn't

CDC Auto-Invalidation

Database changes invalidate cache keys in <1ms. Zero code.

Learn more →

In-Process Vector Search

HNSW at 0.0015ms. 660x faster than Redis 8 Vector Sets.

Learn more →

Cache Triggers

Lua functions fire on cache events. Sub-microsecond.

Learn more →

Cross-Service Coherence

Automatic L1 sync across microservices. Sub-ms propagation.

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Cost-Aware Eviction

Evict cheap data first. Keep expensive computations.

Learn more →

Causal Dependency Graph

DEPENDS_ON tracks key relationships. Transitive invalidation.

Learn more →

Cache Contracts

Per-key freshness SLAs. Auditable for SOC 2/FINRA/HIPAA.

Learn more →

Speculative Pre-Fetch

Predict next 3-5 keys on miss. Fetch before you ask.

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Cache Fusion

Fragment composition. One field changes, rest stays cached.

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Semantic Invalidation

Invalidate by meaning. CONFIDENCE threshold control.

Learn more →

Self-Healing Consistency

Detect cache poisoning. Auto-repair. Consistency score.

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Federated Intelligence

Cross-deployment learning. Zero cold starts.

Learn more →

MVCC

Zero-contention reads. Consistent snapshots.

Learn more →

Hybrid Memory Tiering

RAM + NVMe. 100x larger working sets.

Learn more →

Cachee vs Redis:500,000x Faster Cache Hits

Feature Comparison

When to Choose Cachee + Redis

Migration: 3 Minutes, Zero Risk

What Cachee Has That Redis Doesn't

CDC Auto-Invalidation

In-Process Vector Search

Cache Triggers

Cross-Service Coherence

Cost-Aware Eviction

Causal Dependency Graph

Cache Contracts

Speculative Pre-Fetch

Cache Fusion

Semantic Invalidation

Self-Healing Consistency

Federated Intelligence

MVCC

Hybrid Memory Tiering

Ready to Make Redis 500,000x Faster?

Cachee vs Redis:
500,000x Faster Cache Hits