NoSQL Databases are available in many and diverse varieties tailored for differing data collection and Big Data analytics applications: Content Store (content repository): large, complex data ...

The learning curve of NoSQL databases is quite fast, especially for in-house database skills. 7 Data Variety Causes the Most Issues Data volume is not the big issue for most CIOs; it’s the data ...

Back in 2009, SQL databases began emerging, mainly to handle modern Web-scale databases. They could handle massive amounts of data; tackle the exponential growth of newly created digital content ...

A $3.4 billion market by 2018 — that’s the direction NoSQL technology is headed.. NoSQL databases — which span the categories of key-value stores, column-based stores and document and graph databases ...

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience.rn ...

With big data getting bigger every day, more and more enterprises will automate reporting and make analytics part of the decision-making workflow. But they will also be exploring new possibilities ...

The latest trends in big data analytics were presented by Objectivity, Inc. and Database Trends and Applications in a webcast that is now available for replay. Moderated by Tom Wilson, president of ...

If I asked you for the defining characteristic of a big data customer, you’d probably say they’re sitting on large amounts of data. If I asked for the defining characteristic of a NoSQL ...

MemSQL is useful for clustered analytics but its tunable consistency falls down on ACID transactions. Conclusion. VoltDB, the most mature NewSQL system, is a cloud-ready SQL operational database.