InfiniteGraph: The Distributed Graph Database

In our expanding digital ecosystem the data gathered by companies is not only increasingly complex and interconnected, but there is much more of it. In fact, IBM estimates that 90% of the data in the world today has been created in the last two years alone. Corporate databases have gone from being measured in gigabytes to terabytes and even petabytes, driven by web traffic, social media, financial transactions, email, phone calls, IT logs and more. Buried in this mountain of data is intelligence that can be used to shape strategy, improve business processes and increase profits. Unfortunately, the ability to understand and quickly act on extremely large datasets, or Big Data, has proven to be a big headache for many companies. Leading analyst firm, Gartner, reports global enterprise data assets to grow by an additional 650 percent by the end of 2014. Technologies such as those in the NOSQL space were developed to deal with large-scale data needs and the storage capacity limitations of traditional relational databases. Using a NOSQL approach, data can be interconnected in ways that, when organized properly, unlock valuable information. These solutions can be divided into four different technology categories: Key-value databases, column family databases, document databases and graph databases.
Publisher:Objectivity Published:11/29/2012 Type:
21 pages
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Topics: Java Web Design Architecture Infrastructure Tools & Methods Languages Computer Science Open Source Industry

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