TAILIEUCHUNG - InfiniteGraph: The Distributed Graph Database

Bush wanted to improve on the experience of physical libraries, but realized that the problem “goes deeper than a lag in the adoption of mechanisms by libraries, or a lack of development of devices for their use. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing.” An item can only be in one place, and to find it “one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on. | WHITEPAPER InfiniteGraph The Distributed Graph Database InfiniteGraph The Distributed Graph Database A Performance and Distributed Performance Benchmark of InfiniteGraph and a Leading Open Source Graph Database Using Synthetic Data 4 InfiniteGraph Objectivity Inc. 640 West California Ave. Suite 240 Sunnyvale CA 94086 Office 408-992-7100 Copyright Objectivity Inc. 2012 Objectivity WHITEPAPER 4 lnfiniteGraph InfiniteGraph The Distributed Graph Database Table of Contents High-level Overview - Open Source Graph Database High-level Overview - InfiniteGraph Performance Graph Construction Ingesting Vertices and Building Relationships .7 Sampling for 64 Search Keys Based on a Unique Indexed Property Vertex Lookup .11 Reading Graph Objects from the Graph Navigation Traversal Using Breadth-first-search and Distributed Performance Benchmark of Graph Ingesting Ingesting Finding Graph Copyright Objectivity Inc. 2012 Objectivity WHITEPAPER 4 lnfmiteGraph InfiniteGraph The Distributed Graph Database Introduction 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 .

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