From the website:
InfiniteGraph 1.1, the distributed graph database, was released today with a new indexing framework that gives users greater performance on indexing, data ingest and lookups. The improvements will help developers more quickly develop and deploy with InfiniteGraph, to process larger graph datasets and collections.
How much faster is this version? We’ve seen 100x faster performance in some scenarios, such as processing multiple indexed fields with large index sizes.
….
(general description of InfiniteGraph)
InfiniteGraph is a distributed, scalable graph database and developer API which enables large-scale graph processing, data analytics and discovery in systems and services developed around social networking, business intelligence, scientific research, national security and other advanced, mission critical requirements. InfiniteGraph offers a unique, graph database solution based on a highly-scalable, distributed data persistence technology that has been deployed in some of the most advanced and mission-critical enterprise and government systems in operation today. Organizations can use this solution to discover complex relationships in their data and develop applications with significant time-to-market advantages and technical cost savings.
On my short list of graph databases to evaluate in 2011 in connection with topic maps.
Not to mention also being folks I need to evangelize about topic maps.
Comments or suggestions on both of those tasks welcome!
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