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Capital One handles 21 thousand transactions per second

Capital One managed to pull off one of the biggest enterprise-level digital transformations of the 21st century, consolidating data from legacy databases and processing more than 21K transactions/second with DataStax Enterprise (DSE).

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450 Million rows of data consolidated from Capital One’s legacy databases

11+ Million rows in DataStax Enterprise handling the same data previously contained in 11.8 million rows

21,000 B Transactions per second — Performance capability of Capital One’s new data platform

Best known for its credit cards and Samuel L. Jackson-hosted “What’s in your wallet?” commercials, Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small businesses, and commercial clients. A Fortune 500 company, Capital One is one of the most recognized brands in the United States.

The Challenge

A financial industry leader as famous for its credit cards as its Samuel L. Jackson-starring “What’s in your wallet?” commercials, Capital One’s applications generate huge amounts of data, the mining of which has become of paramount importance for making critical business decisions. Capital One was storing this data in multiple warehouses and databases and using traditional batch analysis for decision making. Needing to be able to more quickly process and analyze its data to make much faster decisions in near real time, Capital One sought to quickly build a new, real-time reporting and analytics platform. “It’s a challenge that the business is going through from thinking about batch analysis to a near real-time platform,” said Javed Roshan, Director of Data Services at Capital One.

The Solution

The stringent service level agreement (SLA) requirement and need to quickly process large amounts of data made DataStax Enterprise a natural choice for Capital One. Capital One attained a distributed environment out of the box with multi-data center replication. This environment is also extremely flexible and able to handle incredibly fast writes, which Capital One required, and has tunable consistency for different types of queries. Furthermore, reliable scalability makes it easy to grow data clusters and support new features, and DSE Search allows for extremely flexible and customized querying. “Along with scalability, availability and real-time capabilities, DSE Search provides many options to query data like range queries, regular expression and non-equality,” said Roshan. “These features are very tempting to use.”

DSE Search provides many options to query data like range queries, regular expression and non-equality. These features are very tempting to use.

Javed Roshan
Director of Data Services at Capital One

The Results with DataStax

The new platform was able to kick-start Capital One’s big data intelligence by quickly and easily incorporating a year’s worth of data – 450 million rows – from a legacy Oracle database, consolidating this into far less rows (11.5 million), all handled on a six-node cluster at the lightning-fast rate of 21,000 transactions per second, and meeting Capital One’s 99.99% uptime requirement. “We pulled in one year of data from Oracle and once we got it into DataStax Enterprise, built on the best distribution of Apache Cassandra, it was smooth ride and it was processing at a very high rate,” said Mukram Aziz, Senior Manager of Data Services at Capital One.

Enterprise
Capital One
Location
Worldwide
Employees
48,800+
Industry
Financial Services

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