Use Cases/Low-latency systems/AdTech / RTB
AdTech / RTB

Decisioning before the bid window closes.

Real-time bidding gives you ~10ms after the auction call. Profile lookups can't be a round trip.

01 — Problem

User profiles, frequency caps, and segment data are scattered across stores. Each lookup adds milliseconds you don't have.

02 — What CortexDB does

Capabilities that map directly to the pain.

01

Edge-deployable

Run CortexDB close to the exchange — colo or edge POP — and skip the cross-region penalty.

02

Columnar hot path

Hot profile attributes served from memory-mapped columnar segments.

03

Namespace isolation

Advertiser-scoped tenants. One noisy bidder doesn't degrade another.

04

No cold start

Fluid Compute–style instance reuse. The first request after a deploy is as fast as the millionth.

03 — Why CortexDB

The architectural decisions that matter here.

Predictable p99

Designed for tail latency, not average.

Backpressure-aware writes

Win logs flow in without stalling reads.

Next step

Want to see this running on your data?