Wells Fargo – NoSQL Customer Case Study

About Wells Fargo

Wells Fargo, the world’s second-largest bank by market cap and the fourth-largest in the U.S. by assets, uses FICO’s Falcon Fraud Manager and Couchbase’s NoSQL database for its fraud monitoring infrastructure. By applying machine learning to internal and third-party data, the bank adapts to sophisticated fraud attacks in real time. Today, 100% of transactions totaling 50+ million per day are processed for fraud in real time at less than 10 ms per operation.

STORY HIGHLIGHTS

Now protects Debit PIN, Debit SIG, and Deposit vs. just Debit PIN
Processing 100% transactions in real time for fraud vs. 18% in previous system
50M+ transactions per day vs. 4M+ in previous system
<10 ms for read or write operations for majority of transactions

KEY RESULTS

50M+

transactions per day

<10MS

for read or write operations

100%

of transactions processed in real time

“We have a lot of data in Oracle, which is mainly used for reporting purposes. But the heart of the data – where the decisions are made – is in Couchbase because that is where high-performance throughput is needed.”

Piyush Sharma, Vice President, Wells Fargo