YugabyteDB Helps Bed Bath and Beyond Improve Their Digital Customer Experience
summary
Bed Bath and Beyond moves core commerce workloads (promotion engine, catalog, accounts, cart/checkout) from a monolith to microservices and selects YugabyteDB after comparing Spanner, CockroachDB, Cassandra, Firestore and Cloud SQL. Tests use YugabyteDB managed and a self‑managed VPC install, load 5–8 million rows in minutes, show failover leader re‑election in seconds and deliver under 5 ms average for a cart operation, proving horizontal scale, geo‑redundancy and low latency for production use.
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chapters (12)
- 0:00Introduction
- 2:30About Bed Bath and Beyond
- 4:15Approach to digital transformation in the retail industry
- 7:25Role that database plays in transforming retail industry
- 9:33Problem with monolithic databases when trying to transform retail
- 11:08Process to evaluate distributed SQL databases
- 13:17Important applications and workloads
- 15:16Requirements needed in a distributed SQL database
- 17:26Testing the YugabyteDB database
- 20:13Aha moments during YugabyteDB testing
- 21:40Change management during database and data layer transformation
- 23:30Bed Bath and Beyond advice to others on database transformation
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