and update individual fields in a record," said Kelly Stirman, MongoDB's director of products. "Even if they get better, you still can't scale these systems." The model for scaling relational is ...

The death of SQL has been greatly exaggerated. With all apologies to Mark Twain, the demise of Structured Query Language (SQL), having been forecasted for a while, is far from a done deal. In fact, ...

In an age of NoSQL and Hadoop, original "Big 3" RDBMS vendor Oracle Corp. is getting back to its roots with a new product designed to integrate access across all three data stores with a single SQL ...

Plenty of Hadoop vendors and hangers-on are promising SQL-on-Hadoop capabilities, but in the process they're buying into the old, inflexible model-before-querying approach to data analysis. Hadoop ...

When it comes to implementing a big data strategy in a Microsoft SQL Server shop, you’re generally going to consider one of three strategies. In the first strategy, which I won’t be addressing today, ...

In the birth of the Big Data revolution, first there was Apache Hadoop, leveraging the batch-oriented MapReduce processing engine and scale-out NoSQL databases. Ever since, the technology has been ...

In the world of Hadoop and NoSQL, the spotlight is now on SQL-on-Hadoop engines. Today, many different engines are available, making it hard for organizations to choose. This article presents some ...

Microsoft introduced a preview of the latest edition of its flagship RDBMS, SQL Server 2019, highlighting new Big Data capabilities. The company said v2019 creates a unified data platform by packaging ...