High-cardinality storage that doesn't fold under write pressure.
Metrics, traces, and logs at modern scale crush row stores. CortexDB is built for the append-heavy, time-bounded shape of telemetry.
Every cardinality explosion is an outage waiting to happen. Most stores either sample silently or fall over.
Capabilities that map directly to the pain.
Time-partitioned segments
Old data ages out cleanly. Recent data stays hot.
Compression that pays for itself
Columnar layout + dictionary encoding on dimension columns.
Full-text and tag search
Hybrid retrieval across structured tags and free-form log text.
Knowledge graph over incidents
Causal chain extraction across logs, traces, and deploys — surfaces the actual cause.
The architectural decisions that matter here.
Connectors built in
PagerDuty, Slack, GitHub — incidents are first-class data, not glue you write.
Want to see this running on your data?
Memory at the speed of speech.
Conversational voice agents have a ~200ms latency budget before they sound unnatural. CortexDB delivers full long-term recall inside it.
Determinism for the order book.
Tick data and order events need predictable storage latency — not a query planner that gets cute under load.
Decisioning before the bid window closes.
Real-time bidding gives you ~10ms after the auction call. Profile lookups can't be a round trip.