Use Cases/Low-latency systems/Capital Markets
Capital Markets

Determinism for the order book.

Tick data and order events need predictable storage latency — not a query planner that gets cute under load.

01 — Problem

General-purpose databases trade tail latency for throughput. At market open, p99 spikes are the difference between a fill and a regret.

02 — What CortexDB does

Capabilities that map directly to the pain.

01

Embedded engine

Skip the network entirely. Recall from the same process that runs strategy code.

02

Append-optimized writes

Event-sourced storage with WAL durability. No write amplification from in-place updates.

03

Time-partitioned scans

Replay any window of the tape without dragging the whole table through cache.

04

Lossless audit

Every event preserved exactly as received. Reproducible backtests, reproducible compliance.

03 — Why CortexDB

The architectural decisions that matter here.

Reproducibility

Event sourcing means a backtest in March matches a backtest in November on the same data.

Crash durability

Battle-tested WAL — no exotic flush configs to reason about during a halt.

Next step

Want to see this running on your data?