Graph database Platforms
Services to make easier for programmer, user, and machine to understand the data and to find insights.
Cloud-based GraphDB is a W3C-compliant enterprise-ready managed graph database. The semantic graph databases serve as the foundation for solutions that require modeling agility, data integration, relationship exploration, and cross-enterprise data publishing and consumption, as well as powering graph use cases such as identity graphs, knowledge graphs, and fraud detection.
Enable provisioning and monitoring with minimal administration capabilities.
With Multi-layered security Enterprises can build high levels of security.
End-to-End database management with High availability and scalability capabilities.
Simply the online database management system by using a graph structure for semantic queries to represent and store data.
Leverage set of technologies that use algorithms to help analysts analyze the connections between graph database entries.
Enterprise Strategy
Semantic approach of databases to help enterprises create relationships between related data.
Enable data analytics and relationships that would be extremely difficult or unachievable using standard analytics approaches.
Adopt database optimization techniques to reduce the cost and get the desired outcome.
Integrate a filtering system that seeks to predict and show the items that is desired by the user.
Services to make easier for programmer, user, and machine to understand the data and to find insights.
Neo4j
Neo4j is a graph data platform that gives developers and data scientists the tools they need to build apps and machine learning workflows.
ArangoDB
ArangoDB is an open-source multi-model graph database tool for creating data models for graph analytics and critical values.
JanusGraph
JanusGraph is a graph database that can support thousands of concurrent users executing complex graph traversals in real-time.
OrientDB
Graph Analytics
Database management
NoSQL
OrientDB is an open-source NoSQL database management system incorporating new document and graph DBMS and standard DBMS features.
graph analytics approach helps to satisfy both the discovery and the use of patterns typically used for analysis and reporting.
Database Management services ensure enterprises are secure, operational costs are maintained and high availability of applications.
NoSQL databases store the data in the denormalized form and follow the different model to store the data depending upon requirements.
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