InfiniteGraph supports increasing needs for real time requirements

InfiniteGraph supports increasing needs for real time requirements : Objectivity, the leader in real-time, information fusion technologies, announced today the release of InfiniteGraph 3.4 offering improvements for real-time search, query, ingest and performance for real-time Big Data applications for improved intelligence and business decision support. With the growing use of real-time, streaming sensor data for analytics in mission critical applications, Objectivity’s products are uniquely able to assist organizations in the handling of data-in-motion to enable complex analysis and discovery of valuable actionable intelligence.

InfiniteGraph 3.4 Enhancements Include Enhanced Navigation Query, Enhanced Vertex and Edge Discovery , New database-wide Batch Query, Tasking Framework and New tool to profile Pipeline Agents.

New Built-In Result Handlers output navigation results to the screen, to JSON or GraphML files, or create an array of result paths. Iterate over results as they are encountered, or for improved performance, collect and examine them after the navigation finishes. Composite Result Handlers combine different result handlers for use in the same navigation query. New Navigator for improved performance. Enhanced Vertex and Edge Discovery, new methods and policies that provide improved functionality and performance. New database-wide Batch Query run a high performance database-wide query that scans the graph database for elements of the same type that satisfy the given requirements. Tasking Framework achieve high-performance data ingest by processing tasks in either a consistent or an eventually-consistent mode. The framework also allows the user to perform more complex modular operations in the asynchronous mode by creating custom tasks.