Both HBase and Cassandra can deal with large data sets, and provide high transaction rates and low latency lookups. Both allow map-reduce processing to be run against the database when aggregation or ...

Uniting the seemingly conflicting values of fast data access and deep analysis, open-source software company DataStax is developing a package that will combine its Cassandra non-relational database ...

Today, DataStax released Brisk, an open-source Hadoop distribution that adds real-time features and reduces the complexity with deploying and running Hadoop and Hive. Apache Cassandra powers Brisk; ...

Tim Moreton, the chief technology officer of Acunu Analytics, hopped into theCube yesterday afternoon at this year’s first Strata event to talk about his startup, and explain the value of real-time ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. NEW YORK – At the Structure Big Data conference, DataStax, ...

With the GigOm Structure Data conference going on this week in NYC, there is lots of news around the still red hot Big Data space. One of the big announcements (no pun intended) was from DataStax, the ...

We are generating a massive amount of data. This isn’t just hyperbole. Social networking activity streams, sensor data, personal information collected to personalize a user experience -- it’s all data ...

While there is a lot of interest in the Apache Hadoop framework because of its promise to cost effectively work with massive amounts of data, there’s also a lot of frustration with the overall ...

The underlying programming model for MapReduce has been revamped and has changed quite a bit. Chuck Lam, the author of Hadoop in Action Benefits that keep getting better include high levels of ...

Uniting the seemingly conflicting values of fast data access and deep analysis, open-source software company DataStax is developing a package that will combine its Cassandra non-relational database ...