Traffic and Truth are Different Data Products
Quant Edge Exchange demonstrates how high-volume event traffic and financial truth can be modeled using purpose-built data stores.
Why Two Databases?
Traditional Architecture
Every event enters the same database regardless of whether it is temporary traffic or financial truth.
Quant Edge Exchange
Traffic and truth are separated into specialized storage layers.
System Architecture
Global Bid Traffic
Purpose: Generate high-volume auction traffic.
Transient Traffic Layer
Auction Decision Engine
Ranks bids and selects the winning settlement candidate.
Authoritative Business Truth
Observability & Audit Layer
Tracks settlement activity, conflict metrics, and operational telemetry.
Database Responsibilities
Amazon DynamoDB
Optimized For: High-Throughput Event Ingestion.
Amazon Aurora DSQL
Purpose: Authoritative financial settlement.
Conflict Resolution with OCC + Full Jitter
Optimistic Concurrency Control handles cross-node clashes gracefully using an exponential backoff formula mixed with full randomized jitter:
PLATFORM COMPONENTS
Key Architectural Insight
"Not every event deserves global consistency."
The cost of coordination should match the value of the data.
