The Brangelina of Big Data: Cassandra mates with Hadoop

Yesterday DataStax announced a new product Brisk which has put a target directly on the back of Hadoop, well not so much Hadoop but rather HDFS. The Register has an interesting article discussing the mariage between two unlikely bedfellows.

Couple of interesting points/quotes from the article:

• The idea is to offer a single platform that provides both a low-latency database for "realtime" web-scale applications and the sort of heavy data analysis you get with Hadoop.
• Brisk includes both Hadoop MapReduce and Hive, letting you run epic-number-crunching jobs across commodity-hardware clusters
• DataStax is promising to open source the platform under an Apache licence within 45 days.
• "You can use it as a realtime infrastructure as you write queries in Hive, and as you right things back with Hive, they're immediately available to the application."
• "One thing we're hearing from [enterprises] is that they need the complete Big Data picture, from realtime low-latency applications through to tools that analyze data - and the ability to use those tools to actually feed data back into applications,"

Check out the full article at: The Brangelina of Big Data: Cassandra mates with Hadoop