Cache at the
speed of memory.
Scale across every node.

SynCache stores your cache directly in process memory — eliminating the network round-trip on every read. A lightweight broker keeps all your instances in sync, so you get the speed of local RAM with the consistency of a distributed system.

197×
Faster Reads vs Leading Cache Solutions
Faster Writes
18×
Faster Evictions

The problem with caching system market leaders

Leading caching solutions require a network call for every single cache operation. SynCache eliminates that entirely — reads come straight from the same heap your application runs in.

Reads at Process Speed

No TCP, no kernel syscalls, no context switches. Every remote cache GET forces your application to drop into kernel mode — the CPU saves registers, hands off to the TCP stack, waits for a network round-trip, and climbs back out. SynCache skips all of that: reads are a plain hash lookup inside your own process heap, entirely in user space. The CPU never leaves user mode, and there is no syscall to pay.

🔗

Cluster-Wide Sync, Zero Config

When any instance calls set(), every other instance gets the updated value. When it calls evict(), every other instance drops it. No pub/sub setup, no manual cache busting, no stale reads — consistency across your entire cluster happens automatically as a side effect of normal cache usage.

🔌

Drop-In Migration, No Rewrites

On Spring Boot, switching to SynCache is two lines in application.yaml — set type: syncache and add your token. Your existing @Cacheable, @CachePut, and @CacheEvict annotations work as-is. Every integration is built around each language's native idioms, so you adopt SynCache by adding a dependency, not rewriting your caching logic.

Architecture Overview
App Instance A
In-Process Cache ⚡
App Instance B
In-Process Cache ⚡
↕ evict/update triggers ↕
SynCache Broker
State Sync & Invalidation
✓ All instances notified
App Instance C
In-Process Cache ⚡
App Instance D
In-Process Cache ⚡
Read: app memory  ·  Write sync: broker
💡
The real bottleneck isn't where data lives — it's the trip to get there.

Many teams think the win of a remote cache is that it moves data from disk to memory. But leading cache solutions are already in-memory — that speed gap is already closed. The tax that remains is the TCP round-trip on every GET: your app drops into kernel mode to issue a syscall, the kernel TCP stack serializes a packet, it crosses the network, the cache server processes it, and the reply makes the same trip in reverse. At a million reads per second, those round-trips add up to seconds of pure overhead every hour — just waiting for I/O that carries data you could have read from local memory. SynCache removes that cost entirely on reads. Writes still sync through the broker so your cluster stays consistent — you just stop paying the per-read tax.

Real-world numbers. No compromises.

All benchmarks conducted using the TPC (Transaction Processing Performance Council) methodology in isolated Docker containers under identical conditions. Reproducible on any machine.

Read Speed
197×
SynCache197x faster
Market Leaderbaseline

TCP/IP round-trip overhead eliminated. Data fetched directly from process heap.

Write Speed
SynCache8× faster
Market Leaderbaseline

Write includes broker sync for consistency. Still 8× faster than the market leader.

Eviction Speed
18×
SynCache18× faster
Market Leaderbaseline

Eviction triggers cross-instance invalidation and completes faster than the market leader's DEL.

Docker-based · Fully Reproducible on GitHub

Everything you need to Implement and Ship fast! Let your service reach its peak...

Pick your language, follow the steps, then explore the full API reference and guides.

+ more coming soon
Getting Started
API Reference
Guides

Quick Start

Follow the steps below to integrate SynCache into your project.

01

Get Your Broker Token

01 Fill in the form below with your name, email, company, and project name.
02 Click "Generate Free Token" — your token will be sent to your email.
03 Store it as an environment variable: SYNCACHE_TOKEN
Free tier — up to 5 connected instances
02

Add SynCache to Your Project

Include the SynCache header and link against the shared library via CMake.

# CMakeLists.txt
find_package(SynCache REQUIRED)
target_link_libraries(myapp SynCache::SynCache)
03

Initialize with Your Token

#include "synCache/Controller.hpp"

Controller controller(synCacheBrokerToken, maxEntries);
04

Use the Cache

// Set without TTL
controller.set("users", "1", "alice", std::nullopt);

// Set with TTL (seconds)
controller.set("users", "1", "alice", 60L);

// Get as string — returns std::optional<std::string>
auto val = controller.getAsString("users", "1");
if (val.has_value()) {
  std::string s = val.value_or("default");
}

// Get raw bytes — returns std::optional<std::vector<uint8_t>>
auto raw = controller.getRaw("users", "1");

// Evict single entry
controller.evict("users", "1");

// Evict entire namespace
controller.evictAll("users");

// Evict everything
controller.evictAll();

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