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Case Studies > Seller Snap Inc. Turns to Redis Enterprise for High Performance

Seller Snap Inc. Turns to Redis Enterprise for High Performance

Technology Category
  • Infrastructure as a Service (IaaS) - Cloud Databases
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
  • E-Commerce
  • Software
Applicable Functions
  • Business Operation
  • Sales & Marketing
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
The business challenges that led the profiled company to evaluate and ultimately select Redis Enterprise included difficulty operating, scaling, and administering other databases. Seller Snap needed a solution that could handle the growing application usage and user count without compromising on performance or stability.
About The Customer
Seller Snap Inc. is a small business specializing in eCommerce solutions, particularly for Amazon professional sellers. They developed the first Game Theory Repricer, which uses AI to analyze competition and maximize profit while avoiding price wars and missing out on potential BuyBox share. Seller Snap relies on Redis Enterprise to provide a stable, high-performing platform for their clients, ensuring cost-effectiveness and scalability.
The Solution
Seller Snap chose Redis Enterprise for its high availability, stability, and high performance. The platform offers features like persistence, auto-failover, cross-zone/multiregion/multi-datacenter in-memory replication, and the ability to seamlessly scale, cluster, and auto-share. These capabilities were crucial for Seller Snap to handle their growing application usage and user count. Additionally, Redis Enterprise's cost-effectiveness with large datasets using Redis on Flash was a significant factor in their decision.
Operational Impact
  • High availability and stability ensured minimal downtime and consistent performance.
  • The ability to seamlessly scale and cluster allowed Seller Snap to handle increased application usage and user count efficiently.
  • Cost-effectiveness with large datasets using Redis on Flash helped in reducing overall operational costs.
Quantitative Benefit
  • Tremendous cost savings compared to previous database solutions.
  • Reduced downtime, leading to higher operational efficiency.
  • Faster time to market for new features and updates.

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