NoSQL operational databases are rapidly gaining adoption. They’re easier to use, operate, and scale than their relational counterparts, and they enable faster development of richer applications.
NoSQL databases are extremely popular among developers thanks to their flexible schemas and rich data types like JSON. But those same attributes make getting data out of them using traditional SQL ...
NoSQL keeps rising, but relational databases still dominate big data Your email has been sent NoSQL promised to upend the database market as big data forced a sea change in how we think about and ...
Some NoSQL databases focus on speed, some on scale, while others aim at relationships or offline use. The right choice depends on how your ...
TYSONS CORNER, Va., April 10 — MicroStrategy Incorporated, a leading worldwide provider of enterprise software platforms, today announced that it has certified the MarkLogic Enterprise NoSQL database ...
Hadoop has quickly gone from "project" to "viable solution" for leveraging the power of clusters of computers to solve problems. Organizations are taking advantage of the ability to segregate data ...
MapR Technologies Inc., known as one of the top commercial vendors distributing Big Data software based on Apache Hadoop technology, today added JSON support to its MapR-DB NoSQL database, claiming ...
This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...
This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a search engine database? Search engines are database management systems ...
ZL Technologies, Inc. (ZL), a leader in unified enterprise information governance and analytics, formally announced ZL NoSQL DB™, the company’s core processing and storage engine for massive-scale ...
It’s commonly asserted—and generally accepted—that the era of the “one-size-fits-all” database is over. We expect that enterprises will use a combination of database technologies to meet the distinct ...
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