Low Latency Trading System Database: What Brokers Use
6 min read
Trading systems need sub-millisecond read and write on the hot path. Generic databases cannot guarantee that.
Order book state, live price cache, position and P&L cache, and trade history lookups. Each has different access patterns. One size-fits-all (PostgreSQL or Redis) forces over-provisioning and still does not meet latency targets at scale.
Purpose-built in-memory engines: custom data structures for order book and price feed, lock-free or low-contention design, and optional WAL for durability. Built for one workload so every cycle counts.
Redis is generic. Custom engines strip everything your workload does not need and tune memory layout and concurrency for your exact schema. That is why serious brokers build or buy custom data layers. At Hendoi we build custom database engines for fintech and trading in USA, Canada, and Bengaluru. Contact us for a free technical review.
📞 +91-9677261485 | 📧 support@hendoi.in | Contact us
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