GraphGrid Graph Database Service (GraphGrid GDS) makes it easy to launch, operate, and scale a graph database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, graph database setup, version upgrades and backups. It frees you to focus on your applications while delivering fast performance, high availability and security across your organization.
GraphGrid Data Platform (GDP) is an enterprise-grade graph data management platform that enables a centralized architecture for running batch, interactive and real-time analytics and data processing applications simultaneously across your connected graph data.
GDP is built on Neo4j, the world's leading graph database, powered by Amazon Web Services (AWS), and supported by shared services for consistent operations, comprehensive security, and trusted governance for a reliable enterprise-ready graph data lake.
GraphGrid GraphCompute is highly scalable, distributed graph processing architecture with a flexible job framework and configurable data pipes to efficiently manage job routing and result flows throughout the GraphGrid Data Platform. GraphCompute enables complex analytics algorithms and data transformations to be processed on the entire graph with a zero downtime, continuous update flow.
GraphGrid 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.
ACCELERATE YOUR CONNECTED DATA JOURNEY
the complete connected data platform, architected for the enterprise
Your data is protected in a dedicated VPC environment.
Resilient Neo4j clusters that remain stable during failures.