Sessions in one store, queues in a second, leaderboards in a third, a cache in front of all of it. Each one brings its own upgrade cycle, its own monitoring, its own failure modes, its own line on the bill. Swytch speaks full Redis 8 semantics with database-level consistency — enough for all four to run on one system.
# macOS / Linux (Homebrew)
brew tap swytchdb/tap
brew install swytchDocker: ghcr.io/swytchdb/swytch
Strings for sessions — your client libraries already speak it. Streams for the event log, with exactly-once delivery in the data plane. Sorted sets for leaderboards that converge across regions without last-writer-wins eating scores. Hashes and keys for the cache itself.
One system to operate, monitor, upgrade, and secure. One system to page you — and it pages you less.
# one connection, four workloads
r.set("session:user_42", token)
r.xadd("events", {"kind": "login"})
r.zincrby("leaderboard", 120, "user_42")
r.hset("profile:42", mapping=profile)The client you already run. All 463 commands.
The win is not one bill instead of four. It is one system to know deeply instead of four to know barely.
One version matrix, one CVE feed, one maintenance window. Patch night stops being a tour of four changelogs.
One set of metrics, one alerting path, one mental model when something looks off. Prometheus and OpenTelemetry out of the box.
The cache in front of Postgres becomes the layer that also replaces the session store, the queue, and the leaderboard service on the bill.
Sessions first is the usual path — one hostname change, no schema, no migration script. Move the next workload when it makes sense.
Not consolidating today? Drop your address and we’ll send the workload-by-workload guide.