Case Study: Vetr achieves real-time, high-performance stock ratings with Redis Enterprise Cloud

Vetr Delivers Financial Advice in Real-Time with Redis Enterprise Cloud

Vetr is a crowdsourced investment-research startup that delivers star-rated, real-time insights on over 1,000 US-listed equities for a growing user base. The company needed to present accurate, constantly changing ratings and follower data with sub-millisecond updates while supporting rapid user growth, high availability, and operational simplicity.

Vetr implemented a hybrid stack using Redis Enterprise Cloud for rapidly changing, persisted in‑memory data and PostgreSQL for static structured data. Redis gave them atomic counters, sets and low-latency access at scale, while Redis Enterprise Cloud provided zero-downtime scaling and upgrades, no data loss over three years, and reduced operational cost—freeing the team to focus on product development.

Vetr

Zoheb Sait

CTO