Neo4j
166 Case Studies
A Neo4j Case Study
A Top 10 US-based retailer (Fortune Top 50, unnamed) faced severe site slowdowns on Cyber Monday 2015 when a site-wide promotion overwhelmed its IBM WebSphere/DB2 stack. The relational database couldn’t perform the real-time, multi-layer promotions and recommendation calculations required at checkout, leaving 90% of customer traffic delayed and damaging the online experience.
The retailer implemented Neo4j as both front-end and back-end to power pricing, promotions and recommendation engines, enabling real-time traversal of connected data. Post-migration, Neo4j processes 90% of the company’s 35M+ daily transactions in 4 ms or less (well under the 20 ms target) and helped lift Q4 2016 digital sales 34% to a record high.
Top 10 Retail Company