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GraphGrid Data Platform (GDP) is an enterprise-grade graph data management platform built on Neo4j, the world's leading graph database.
GDP GraphCompute is highly scalable, distributed graph processing architecture with a flexible job framework for complex analytics algorithms.
GDP ExtendedGraph provides low-level, direct access to deploy custom algorithms that take advantage of the low-latency Java traversal API.
GDP DataMate provides high throughput integration for data sources from direct CSV to advanced ESB routing configurations.
GraphGrid ElasticGraph is real-time, auto-indexing faceted search integrated with the connected graph data to provided powerful graph search.
GDP enables a centralized architecture for running batch, interactive and real-time analytics and data processing simultaneously across your graph.
GDP drives Interactive traversal, discovery, and analysis to gain actionable insights from meaningful relationships and patterns within your graph data.
GDP delivers Enterprise Neo4j, deeply integrated with existing systems to create a highly efficient, highly scalable way to manage all your enterprise data.
Your data is protected in a dedicated VPC environment.
Resilient Neo4j clusters that remain stable during failures.
Optimally configured cluster every time.
Never go offline to perform a version upgrade.
Automatic backup replication and failure over.