Is Cachee a Garnet replacement?

Cachee can replace Garnet for caching workloads, or layer on top of it. As a standalone cache, Cachee delivers 31ns hits with AI pre-warming — no .NET runtime required. As an L1 layer, Cachee adds AI intelligence on top of Garnet's .NET-optimized storage, giving you the best of both.

How much faster is Cachee than Garnet?

Cachee L1 cache hits resolve in 31ns from in-process memory. Garnet's published benchmarks show ~300µs at p99.9 for network operations. Cachee is approximately 200× faster for cached reads because data is served from the same process memory, not over the network.

Does Garnet require .NET to run?

Yes. Garnet is built on .NET and requires the .NET runtime on the server. While it speaks the RESP protocol (so clients in any language can connect), the server itself is a C# application. Cachee is a compiled Rust binary — no runtime dependencies, instant deployment on any Linux or container environment.

How much does Garnet cost compared to Cachee?

Garnet is open-source (MIT license) but self-hosted. Production deployment requires compute with .NET runtime, storage, monitoring, and operations — approximately $300+/month on AWS. As early-stage software, operational risk is higher. Cachee's Scale plan is $149/month — fully managed, battle-tested, with AI optimization included.

Can I use Cachee with Garnet?

Yes. Point Cachee's L2 upstream at your Garnet instance using the RESP protocol. Cachee serves reads from AI-warmed L1 at 31ns. Cache misses fall through to Garnet. You get Cachee's predictive caching intelligence plus Garnet's .NET-optimized storage, with zero application code changes.

Does Garnet have CDC auto-invalidation?

No. Garnet is a .NET-based cache-store focused on RESP protocol compatibility and performance. It has no mechanism to watch database change streams and invalidate cache keys automatically. Cachee's CDC auto-invalidation monitors your database WAL and invalidates affected keys in under 1ms with zero code changes.

Does Garnet support cache contracts?

No. Garnet provides standard Redis-compatible data operations but no per-key SLA enforcement, compliance audit trails, or contractual freshness guarantees. Cachee's cache contracts let you define per-key SLAs that are SOC 2, FINRA, and HIPAA auditable — critical for regulated industries.

Does Garnet have a causal dependency graph?

No. Garnet, like Redis, treats keys as independent entities with no dependency relationships. Cachee's causal dependency graph lets you declare DEPENDS_ON relationships between keys, enabling automatic transitive invalidation when upstream data changes — eliminating stale cache bugs.

Cachee vs Garnet — Universal AI Caching, Any Language

Cachee vs Garnet:
Universal AI Caching, Any Language

Garnet is Microsoft's open-source cache-store built on .NET. Cachee is a language-agnostic AI caching layer that works with any backend — including Garnet — delivering 1.5µs hits with predictive pre-warming.

1.5µs

Cachee L1 cache hit

~300µs

Garnet p99.9

100%

AI-powered hit rate

Feature Comparison

Capability	Cachee	Garnet
L1 Cache Hit Latency	1.5µs (in-process)	~300µs (p99.9 network)
Architecture	AI L1 layer, any backend	Standalone .NET cache-store
Cache Hit Rate	100% (AI pre-warming)	~85-92% (static TTL)
AI Pre-Warming	Neural pattern prediction	None
Language Ecosystem	Any language (RESP protocol)	.NET optimized (C# server)
Multi-Tier	L1 + L2 + L3 tiered storage	Single tier (memory + optional persistence)
Operations	Managed sidecar, 3-min deploy	Self-hosted, .NET runtime required
Cluster Mode	Backend handles clustering	Native cluster with migration support
Custom Commands	Standard RESP commands	Custom .NET command extensions
Monitoring	Built-in AI dashboard	Roll your own
Maturity	Production-proven	Early-stage (open-sourced 2024)

Capability

Cachee

Garnet

L1 Cache Hit Latency

1.5µs (in-process)

~300µs (p99.9 network)

Architecture

AI L1 layer, any backend

Standalone .NET cache-store

Cache Hit Rate

100% (AI pre-warming)

~85-92% (static TTL)

AI Pre-Warming

Neural pattern prediction

None

Language Ecosystem

Any language (RESP protocol)

.NET optimized (C# server)

Multi-Tier

L1 + L2 + L3 tiered storage

Single tier (memory + optional persistence)

Operations

Managed sidecar, 3-min deploy

Self-hosted, .NET runtime required

Cluster Mode

Backend handles clustering

Native cluster with migration support

Custom Commands

Standard RESP commands

Custom .NET command extensions

Monitoring

Built-in AI dashboard

Roll your own

Maturity

Production-proven

Early-stage (open-sourced 2024)

Cost Comparison

Garnet (Self-Hosted)

$300+/mo

EC2/VM with .NET runtime
+ storage + monitoring setup
+ ops overhead
+ early-adoption risk

Cachee

$149/mo

Scale plan — fully managed
AI optimization included
Built-in monitoring
Battle-tested in production

.NET vs universal: Garnet's .NET foundation gives it excellent performance for the Microsoft ecosystem. But not every team runs .NET, and Garnet's early-stage status means limited community tooling and operational playbooks. Cachee works with any language, any backend, and adds AI intelligence that Garnet doesn't offer.

Migration: Use Cachee on Top of Garnet

Best of both worlds: If you're invested in Garnet, deploy Cachee as L1. Cachee speaks RESP to Garnet as its L2 backend. Reads hit Cachee's AI-warmed L1 at 1.5µs. Misses fall through to Garnet. Best of both: Garnet's .NET performance + Cachee's AI optimization.

What Cachee Has That Garnet Doesn't

16 features that exist nowhere else in the caching ecosystem.

⚡

CDC Auto-Invalidation

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

Cachee vs Garnet:Universal AI Caching, Any Language

Feature Comparison

Cost Comparison

Garnet (Self-Hosted)

Cachee

Migration: Use Cachee on Top of Garnet

What Cachee Has That Garnet 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

Temporal Versioning

Zero-Copy L0

AI Caching That Works Everywhere

Cachee vs Garnet:
Universal AI Caching, Any Language