DataStax Rewires Hadoop with Apache Cassandra

At GigaOm’s Structure Big Data conference, DataStax unveiled Brisk, a new distribution that enhances the Hadoop and Hive platform with scalable low-latency data capabilities. DataStax provides a commercial version of Apache Cassandra. Its new product, Brisk, provides a single platform that can server as a low-latency database for extremely high-volume web and real-time applications, while providing tightly coupled Hadoop and Hive analytics. Apache Cassandra, an open-source distributed database management system, is designed to store and allow very low-latency access to very large amounts of data spread out across many commodity servers while providing a highly available service with no single point of failure. The platform evolved from work at Google, Amazon and Facebook. “The challenge of ‘big data’ is two-fold,” said Matt Pfeil, CEO and co-founder, DataStax. “The analytical side is well understood and served by Hadoop and Hive. However, we live in a real-time world, and the ability for applications to interact with big data at low-latency is equally important. Apache Cassandra was bred for big data, real-time scenarios, and using it to power Apache Hive and Apache Hadoop gives users a single solution that serves both needs.” Pfeil explains more in this video shot in the expo area at Structure Big Data. This video runs about 1 minute, 45 seconds.

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About the Author

Colleen Miller is a journalist and social media specialist. She has more than two decades of writing and editing experience, with her most recent work dedicated to the online space. Colleen covers the data center industry, including topics such as modular, cloud and storage/big data.

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