About Wells Fargo
50M+
transactions per day
<10ms
for read or write operations
100%
of transactions processed in real time
Challenges
- Advanced real-time rules engine, customizable scoring model, high-speed availability, and effective/efficient change management/processing
- Used ISAM files to store customer profile for faster response
- Need to scale the system horizontally and vertically to support growth and expand for different LOBs
- Need to replicate data for HA/DR
Outcomes
- 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
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
Industry
Use case
- User profile store
- Caching
Product
Key features
- N1QL
- Multi-dimensional scaling
- Cross datacenter replication
- In-memory database