PayPal
Payment processing and big data integration at massive scale with Couchbase
Industry
- Financial Services
- High Tech
Customer application
- User activity
- Real-time analytics
Solution
Use case
- Mobile wallet
- Operational dashboarding
Product
Key Features
- In-memory database
- Multi-dimensional scaling
- Cross datacenter replication
In 2013, PayPal, a global leader in online payments solutions, took on NoSQL for several use cases. They initially leveraged Couchbase for their Media Network Advertising pipeline and applied Couchbase to build cross-channel audience analytics in profiling, segmentation, identity mapping and more. By 2014, the company was managing over 1 billion documents and 10 terabytes of data with Couchbase. PayPal extended Couchbase use into analytics for user information, processing millions of updates a minute in conjunction with Kafka and Hadoop.
“As the operational data store, Couchbase is easily capable of processing tens of millions of updates a day, or more. Streaming through Kafka into Hadoop, these key events are turned into business insight and that’s why we are very excited about Couchbase.”
Anil Madan
Senior Director of Engineering, PayPal
CHALLENGES
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Provide business users with real time reports and visualizations of user interaction data
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Collect web and mobile clickstream in real time
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Integrate with other big data technologies (Hadoop and Storm)
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Provide views of data across multiple dimensions (e.g., time, location, browser and device types)
OUTCOMES
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Generates views for business users in under 1 minute, based on 10-minute data collection intervals
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Real time performance, easy integration with Storm and Hadoop
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Ingests data from multiple inputs, including mobile, web, and other services
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Processes millions of updates a minute
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