Now caching MongoDB · SQL & NoSQL next

One proxy between your
backend and stale data.

CachePilot sits in front of your database and caches query results automatically. No separate Redis to wire up, no manual invalidation logic, no infrastructure to babysit.

your backend
CP
CachePilot
MongoDB
query: getUserById() → cache hit · 2ms
// the difference

Cut the caching plumbing out of your stack

Same result, half the moving parts. CachePilot replaces the cache layer you'd otherwise build and maintain yourself.

traditional setup
backend
↙ ↘
redis
database
manual invalidation logic
– connect to Redis and the DB separately
– write cache invalidation by hand
– risk serving stale data on edge cases
– manage and scale cache infra yourself
with cachepilot
backend
↓
CachePilot
↓
database
+ one connection, caching handled for you
+ invalidation and freshness built in
+ drop-in, your DB queries stay the same
+ zero extra infra to run
// database support

Built on MongoDB, expanding from there

CachePilot works with MongoDB today. SQL and other NoSQL databases are next on the roadmap.

live
MongoDB
SQL
planned
NoSQL (wider)
LinkedIn | cachepiilot@gmail.com