InfiniteGraph Technical Specifications

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  • Distributed graph database: Take full advantage of distributed data and distributed processing capabilities.
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  • Intuitive, graph-focused Java API: Build data-intensive graph-based applications rapidly.
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  • Policy-driven consistency models: Accelerate ingest by relaxing consistency or choose full ACID mode when required.
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  • Model-based placement: Physically collocate graph elements that are often accessed together to enhance navigation query performance. Physically separate or isolate frequently accessed data objects to avoid/reduce lock contention.
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  • Distributed parallel navigation queries: Query the graph through a powerful navigation API, executing in-process or across distributed servers.
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  • Blueprints support: Provide access to InfiniteGraph via an established open-source API, supporting the use of popular tools such as Tinkerpop Gremlin.
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  • Plugin framework: Package and deploy reusable custom navigators and result formatters.
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  • Indexing framework: Enhanced query performance through automatic and manual index lookup.
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  • Graph view: Define a filtered view of your graph, allowing for even faster results (queries can “infer” that a path will be unsuccessful by referring to a pre-compiled view of only the data that is relevant to the navigation).
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