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.
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.
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.
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.
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.
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.
All benchmarks conducted using the TPC (Transaction Processing Performance Council) methodology in isolated Docker containers under identical conditions. Reproducible on any machine.
TCP/IP round-trip overhead eliminated. Data fetched directly from process heap.
Write includes broker sync for consistency. Still 8× faster than the market leader.
Eviction triggers cross-instance invalidation and completes faster than the market leader's DEL.
Pick your language, follow the steps, then explore the full API reference and guides.
Follow the steps below to integrate SynCache into your project.
SYNCACHE_TOKEN
Include the SynCache header and link against the shared library via CMake.
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