Case Study: Seller Snap achieves high performance and major cost savings with Redis Enterprise

Seller Snap Turns to Redis Enterprise for High Performance

Seller Snap Inc., a small business that built the first Game Theory Repricer for Amazon professional sellers, needed a stable, high-performance platform to support its AI-driven pricing and growing user base. The company struggled with operating, scaling, and administering other databases and required a cost-effective solution that could handle session stores and increasing application load without causing downtime or performance degradation.

By adopting Redis Enterprise as its session store, Seller Snap gained high availability, seamless scaling, and in-memory performance (with cost-saving Redis on Flash for large datasets). The move delivered tremendous cost savings, reduced downtime, faster time to market, fewer specialized personnel requirements, and consistently higher performance, prompting the company to plan migrating additional data from AWS ElastiCache into Redis Enterprise.

Seller Snap

Joshua Beam

Chief Technology Officer