Big data is comprised of the well-known 3 V’s: volume, velocity, and variety. Traditionally, when there has been an influx of new data, systems have scaled up. Recently though with the variety and ...

NoSQL databases have emerged to address the limitations of traditional relational systems when managing massive, heterogeneous datasets generated by modern applications. They dispense with rigid ...

Google today announced the beta release of Cloud Bigtable, a new managed NoSQL database on the Google Cloud Platform. At the core of the new service is Google’s Bigtable database, which Google ...

Open source software vendor Talend announced that it has added big data profiling for Apache Hadoop and support for NoSQL databases in the upcoming release of its integration platform, Talend v5.2.

The NoSQL Market is undergoing remarkable transformation as organizations increasingly prioritize scalable, flexible, and high-performance database architectures to manage rapidly expanding volumes of ...

Mention the word “database,” and most people think of the venerable RDBMS that has dominated the landscape for more than 30 years. That, however, may soon change. A whole crop of new contenders are ...

Netflix is the big Kahuna of a Web media businesses, with 33 million subscribers in more than 40 countries. As Netflix’s “watch now” streaming service has grown, the company has had to rethink its ...

If you had any doubt that the Big Data and NoSQL database market continue to remain red hot, look no further than today’s announcement that 10gen, makers of the open source mongodb, raised a ...

Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...

The days of the single source of truth, one database for the entire enterprise, are over. Now even a relatively simple mobile application demands more than one database. The good news is that we have ...

Businesses and organizations are increasingly challenged to handle the huge volumes of data, both internally generated and acquired from outside sources, that they need to process, store and analyze ...